{"id":441,"date":"2013-11-02T00:30:44","date_gmt":"2013-11-01T22:30:44","guid":{"rendered":"http:\/\/lwibs01.gm.fh-koeln.de\/blogs\/konen\/?page_id=441"},"modified":"2020-01-02T13:52:07","modified_gmt":"2020-01-02T11:52:07","slug":"publikationen","status":"publish","type":"page","link":"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/","title":{"rendered":"Publikationen"},"content":{"rendered":"<div class=\"twoclick_social_bookmarks_post_441 social_share_privacy clearfix 1.6.4 locale-de_DE sprite-de_DE\"><\/div><div class=\"twoclick-js\"><script type=\"text\/javascript\">\/* <![CDATA[ *\/\njQuery(document).ready(function($){if($('.twoclick_social_bookmarks_post_441')){$('.twoclick_social_bookmarks_post_441').socialSharePrivacy({\"txt_help\":\"Wenn Sie diese Felder durch einen Klick aktivieren, werden Informationen an Facebook, Twitter, Flattr, Xing, t3n, LinkedIn, Pinterest oder Google eventuell ins Ausland \\u00fcbertragen und unter Umst\\u00e4nden auch dort gespeichert. N\\u00e4heres erfahren Sie durch einen Klick auf das <em>i<\\\/em>.\",\"settings_perma\":\"Dauerhaft aktivieren und Daten\\u00fcber-tragung zustimmen:\",\"info_link\":\"http:\\\/\\\/www.heise.de\\\/ct\\\/artikel\\\/2-Klicks-fuer-mehr-Datenschutz-1333879.html\",\"uri\":\"https:\\\/\\\/blogs.gm.fh-koeln.de\\\/konen\\\/publikationen\\\/\",\"post_id\":441,\"post_title_referrer_track\":\"Publikationen\",\"display_infobox\":\"on\"});}});\n\/* ]]> *\/<\/script><\/div><p class=\"lead\"><a href=\"#suchfeldWK\">Suchfeld<\/a><\/p>\n<div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><div class=\"teachpress_filter\"><select class=\"default\" name=\"yr\" id=\"yr\" tabindex=\"2\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?')\">\r\n                   <option value=\"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=#tppubs\">Alle Jahre<\/option>\r\n                   <option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2025#tppubs\" >2025<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2024#tppubs\" >2024<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2023#tppubs\" >2023<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2022#tppubs\" >2022<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2021#tppubs\" >2021<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2020#tppubs\" >2020<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2019#tppubs\" >2019<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2018#tppubs\" >2018<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2017#tppubs\" >2017<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2016#tppubs\" >2016<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2015#tppubs\" >2015<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2014#tppubs\" >2014<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2013#tppubs\" >2013<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2012#tppubs\" >2012<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2011#tppubs\" >2011<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2010#tppubs\" >2010<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2009#tppubs\" >2009<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2008#tppubs\" >2008<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2007#tppubs\" >2007<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2006#tppubs\" >2006<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2005#tppubs\" >2005<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2002#tppubs\" >2002<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2001#tppubs\" >2001<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2000#tppubs\" >2000<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1999#tppubs\" >1999<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1998#tppubs\" >1998<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1997#tppubs\" >1997<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1996#tppubs\" >1996<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1995#tppubs\" >1995<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1994#tppubs\" >1994<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1993#tppubs\" >1993<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1992#tppubs\" >1992<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1991#tppubs\" >1991<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1990#tppubs\" >1990<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1987#tppubs\" >1987<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=1986#tppubs\" >1986<\/option>\r\n                <\/select><select class=\"default\" name=\"type\" id=\"type\" tabindex=\"3\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?')\">\r\n                   <option value=\"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=#tppubs\">Alle Typen<\/option>\r\n                   <option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=article#tppubs\" >Artikel<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=incollection#tppubs\" >Buchabschnitte<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=inproceedings#tppubs\" >Proceedings Articles<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=mastersthesis#tppubs\" >Abschlussarbeiten<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=misc#tppubs\" >Sonstige<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=phdthesis#tppubs\" >Promotionsarbeiten<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=techreport#tppubs\" >Forschungsberichte<\/option>\r\n                <\/select><select class=\"default\" name=\"auth\" id=\"auth\" tabindex=\"5\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?')\">\r\n                   <option value=\"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\">Alle Autoren<\/option>\r\n                   <option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=102#tppubs\" > Adams, L.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=170#tppubs\" > Adams, Lukas<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=199#tppubs\" > Allmendinger, Richard<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=285#tppubs\" > Anders, Denis<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=197#tppubs\" > B\u00e4ck, Thomas<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=119#tppubs\" > Backe, Hartmut<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=191#tppubs\" > Bagheri, Samineh<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=206#tppubs\" > Bartz-Beielstein, Thomas<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=179#tppubs\" > Begemann-Blaich, Marie-Luise<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=134#tppubs\" > Behrmann, Kay-Ole<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=186#tppubs\" > Bethge, K.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=224#tppubs\" > Bischl, Bernd<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=180#tppubs\" > Bokemeyer, Helmut<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=213#tppubs\" > Bongards, Michael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=200#tppubs\" > Branke, J\u00fcrgen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=169#tppubs\" > Brauckmann, Michael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=215#tppubs\" > Breiderhoff, Beate<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=251#tppubs\" > Buhl, Henning<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=96#tppubs\" > Buhmann, Joachim<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=214#tppubs\" > Claes, Christoph<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=152#tppubs\" >von D&quot;uring, Monika<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=187#tppubs\" > Dahlinger, M.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=260#tppubs\" > D\u00e4ubner, Sina<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=220#tppubs\" > Davtyan, Artur<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=201#tppubs\" > Deb, Kalyanmoy<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=302#tppubs\" > Denz, Robin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=110#tppubs\" > Dick, S.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=20#tppubs\" > Doursat, Ren\u00e9<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=75#tppubs\" > Drechsel, Dieter<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=103#tppubs\" >von D\u00fcring, Monika<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=198#tppubs\" > Emmerich, Michael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=227#tppubs\" > Emmerich, Michael T. M.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=111#tppubs\" > Engelhardt, M.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=300#tppubs\" > Engelhardt, Raphael C<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=286#tppubs\" > Engelhardt, Raphael C.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=308#tppubs\" > Engelhardt, Raphael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=217#tppubs\" > Engels, Christoph<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=26#tppubs\" > Engels, Christoph<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=218#tppubs\" > Faeskorn-Woyke, Heide<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=202#tppubs\" > Fieldsend, Jonathan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=209#tppubs\" > Flasch, Oliver<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=263#tppubs\" > Flaton, Kenneth A<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=50#tppubs\" > Fl\u00fcgel, Albert<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=195#tppubs\" > Foussette, Christophe<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=101#tppubs\" > Fricke, Britta<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=210#tppubs\" > Friese, Martina<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=49#tppubs\" > Fuhrmann, Stefan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=264#tppubs\" > Gehlen, Stefan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=181#tppubs\" > Glassel, Peter<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=303#tppubs\" > Hammer, Maximilian<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=105#tppubs\" > Hardenack, Markus<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=104#tppubs\" > Harders, Albrecht<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=182#tppubs\" >von Harrach, Dietrich<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=223#tppubs\" > Hein, Kristine<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=153#tppubs\" > Heuser, Lothar<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=147#tppubs\" > Hormel, Michael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=265#tppubs\" > Hormel, Michael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=183#tppubs\" > Kl\u00fcver, Marion<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=193#tppubs\" > Koch, Patrick<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=4#tppubs\" > Konen, Wolfgang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=194#tppubs\" > Konen, Wolfgang<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=266#tppubs\" > Kopecz, J\u00f6rg<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=94#tppubs\" > Kopecz, J\u00f6rg<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=188#tppubs\" > Kosmadakis, P.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=196#tppubs\" > Krause, Peter<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=297#tppubs\" > Krystiniak, Noah<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=21#tppubs\" > Lades, Martin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=97#tppubs\" > Lange, J\u00f6rg<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=287#tppubs\" > Lange, Moritz<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=232#tppubs\" > Liebig, Kay N.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=22#tppubs\" >von der Malsburg, Christoph<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=233#tppubs\" > Maslehaty, Homajoun<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=84#tppubs\" > Maurer, Thomas<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=312#tppubs\" > Meinen, Marcel J<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=316#tppubs\" > Melnik, Andrew<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=189#tppubs\" > Mojumder, S.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=228#tppubs\" > Naderi, Martin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=212#tppubs\" > Naujoks, Boris<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=117#tppubs\" > Neumann, D.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=292#tppubs\" > Oedingen, Marc<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=30#tppubs\" > others,<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=221#tppubs\" > Oyetoyan, Tosin Daniel<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=112#tppubs\" > Pechlivanis, I.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=234#tppubs\" > Petridis, Athanasios K.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=184#tppubs\" > Poppensieker, Paul<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=203#tppubs\" > Quagliarella, Domenico<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=236#tppubs\" > Ramos, Ricardo<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=282#tppubs\" > Raycheva, Ralitsa<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=284#tppubs\" > Reinicke, Ulf<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=86#tppubs\" > Sali\u00e9, Henning<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=274#tppubs\" > Scheiermann, Johannes<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=115#tppubs\" > Schmieder, Kirsten<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=216#tppubs\" > Scholz, Martin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=19#tppubs\" > Scholz, Martin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=92#tppubs\" > Schulze-Kr\u00fcger, Ekkehard<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=116#tppubs\" > Schwarz, Andreas<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=118#tppubs\" > Senger, Peter<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=204#tppubs\" > Sindhya, Karthik<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=178#tppubs\" > Stagge, Peter<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=219#tppubs\" > Stahl, Hans Ludwig<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=185#tppubs\" > Stiebing, Kurt-Ernst<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=235#tppubs\" > Stork, J\u00f6rg<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=127#tppubs\" > Stroth, Joachim<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=222#tppubs\" > Tamutan, Michael<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=192#tppubs\" > Thill, Markus<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=173#tppubs\" > T\u00f6lg, Sebastian<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=231#tppubs\" > Tombrock, Stephan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=87#tppubs\" > Tombrock, Stephan<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=23#tppubs\" > Vorbr\u00fcggen, Jan C.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=226#tppubs\" > Wagner, Tobias<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=128#tppubs\" > Wallenwein, K<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=283#tppubs\" > Wang, Hao<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=89#tppubs\" > Weber, Hans-J.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=225#tppubs\" > Weihs, Claus<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=207#tppubs\" > Westenberger, Hartmut<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=107#tppubs\" > Wildf\u00f6rster, Ulrich<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=288#tppubs\" > Wiskott, Laurenz<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=24#tppubs\" > Wiskott, Laurenz<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=25#tppubs\" > W\u00fcrtz, Rolf P.<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=211#tppubs\" > Zaefferer, Martin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=237#tppubs\" > Ziegenhirt, J\u00f6rg<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=208#tppubs\" > Zimmer, Tobias<\/option>\r\n                <\/select><\/div><\/form><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">169 Eintr\u00e4ge<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 von 4 <a href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"N\u00e4chste Seite\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?limit=4&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"Letzte Seite\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><div class=\"teachpress_publication_list\"><h3 class=\"tp_h3\" id=\"tp_h3_2025\">2025<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lange, Moritz;  Engelhardt, Raphael C.;  Konen, Wolfgang;  Melnik, Andrew;  Wiskott, Laurenz<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2185','tp_links')\" style=\"cursor:pointer;\">Object-centric Denoising Diffusion Models for Physical Reasoning<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2507.04920, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2185\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2185','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2185\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2185','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=105#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">auxiliary tasks<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=119#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">physical reasoning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=104#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Representation learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=103#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2185\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Lange2025,<br \/>\r\ntitle = {Object-centric Denoising Diffusion Models for Physical Reasoning},<br \/>\r\nauthor = {Moritz Lange and Raphael C. Engelhardt and Wolfgang Konen and Andrew Melnik and Laurenz Wiskott},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2507.04920},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2507.04920},<br \/>\r\nkeywords = {auxiliary tasks, physical reasoning, reinforcement learning, Representation learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2185','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2185\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2507.04920\" title=\"https:\/\/arxiv.org\/abs\/2507.04920\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2507.04920<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2185','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2024\">2024<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2177','tp_links')\" style=\"cursor:pointer;\">Exploring the Reliability of SHAP Values in Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Longo, Luca;  Lapuschkin, Sebastian;  Seifert, Christin (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17\u201319, 2024, Proceedings, Part III, <\/span><span class=\"tp_pub_additional_pages\">S. 165\u2013184, <\/span><span class=\"tp_pub_additional_publisher\">Springer, <\/span><span class=\"tp_pub_additional_address\">Cham, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-3-031-63799-5<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2177\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2177','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2177\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2177','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=114#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Explainability; Reinforcement Learning; SHAP; Shapley Values; XAI<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2177\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Engelhardt2024,<br \/>\r\ntitle = {Exploring the Reliability of SHAP Values in Reinforcement Learning},<br \/>\r\nauthor = {Raphael Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\neditor = {Luca Longo and Sebastian Lapuschkin and Christin Seifert},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2024.pdf},<br \/>\r\ndoi = {10.1007\/978-3-031-63800-8},<br \/>\r\nisbn = {978-3-031-63799-5},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-07-09},<br \/>\r\nbooktitle = {Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17\u201319, 2024, Proceedings, Part III},<br \/>\r\nvolume = {2155},<br \/>\r\npages = {165\u2013184},<br \/>\r\npublisher = {Springer},<br \/>\r\naddress = {Cham},<br \/>\r\nseries = {Communications in Computer and Information Science},<br \/>\r\nkeywords = {Explainability; Reinforcement Learning; SHAP; Shapley Values; XAI},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2177','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2177\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2024.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2[...]\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2[...]<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-63800-8\" title=\"Folge der DOI-Nummer:10.1007\/978-3-031-63800-8\" target=\"_blank\">doi:10.1007\/978-3-031-63800-8<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2177','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Oedingen, Marc;  Engelhardt, Raphael C.;  Denz, Robin;  Hammer, Maximilian;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2171','tp_links')\" style=\"cursor:pointer;\">ChatGPT Code Detection: Techniques for Uncovering the Source of Code<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2405.15512, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2171\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2171','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2171\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2171','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=111#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">ChatGPT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=110#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Code Detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=112#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Large Language Models<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=21#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">machine learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2171\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Oedingen2024,<br \/>\r\ntitle = {ChatGPT Code Detection: Techniques for Uncovering the Source of Code},<br \/>\r\nauthor = {Marc Oedingen and Raphael C. Engelhardt and Robin Denz and Maximilian Hammer and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2405.15512},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-05-01},<br \/>\r\nurldate = {2024-05-01},<br \/>\r\njournal = {arXiv preprint arXiv:2405.15512},<br \/>\r\nkeywords = {AI, ChatGPT, Code Detection, Large Language Models, machine learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2171','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2171\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2405.15512\" title=\"https:\/\/arxiv.org\/abs\/2405.15512\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2405.15512<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2171','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Oedingen, Marc;  Engelhardt, Raphael C.;  Denz, Robin;  Hammer, Maximilian;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2173','tp_links')\" style=\"cursor:pointer;\">ChatGPT Code Detection: Techniques for Uncovering the Source of Code<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">AI, <\/span><span class=\"tp_pub_additional_volume\">Bd. 5, <\/span><span class=\"tp_pub_additional_number\">Nr. 3, <\/span><span class=\"tp_pub_additional_pages\">S. 1066\u20131094, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 2673-2688<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_2173\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2173','tp_abstract')\" title=\"Zeige Abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_2173\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2173','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2173\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2173','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=111#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">ChatGPT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=110#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Code Detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=112#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Large Language Models<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=21#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">machine learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2173\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Oedingen2024_AI,<br \/>\r\ntitle = {ChatGPT Code Detection: Techniques for Uncovering the Source of Code},<br \/>\r\nauthor = {Marc Oedingen and Raphael C. Engelhardt and Robin Denz and Maximilian Hammer and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53},<br \/>\r\ndoi = {10.3390\/ai5030053},<br \/>\r\nissn = {2673-2688},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-05-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\njournal = {AI},<br \/>\r\nvolume = {5},<br \/>\r\nnumber = {3},<br \/>\r\npages = {1066\u20131094},<br \/>\r\nabstract = {In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI). As these technologies evolve rapidly, it is crucial to explore how they influence code generation, especially given the risk of misuse in areas such as higher education. The present paper explores this issue by using advanced classification techniques to differentiate between code written by humans and code generated by ChatGPT, a type of LLM. We employ a new approach that combines powerful embedding features (black-box) with supervised learning algorithms including Deep Neural Networks, Random Forests, and Extreme Gradient Boosting to achieve this differentiation with an impressive accuracy of 98%. For the successful combinations, we also examine their model calibration, showing that some of the models are extremely well calibrated. Additionally, we present white-box features and an interpretable Bayes classifier to elucidate critical differences between the code sources, enhancing the explainability and transparency of our approach. Both approaches work well, but provide at most 85\u201388% accuracy. Tests on a small sample of untrained humans suggest that humans do not solve the task much better than random guessing. This study is crucial in understanding and mitigating the potential risks associated with using AI in code generation, particularly in the context of higher education, software development, and competitive programming.},<br \/>\r\nkeywords = {AI, ChatGPT, Code Detection, Large Language Models, machine learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2173','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_2173\" style=\"display:none;\"><div class=\"tp_abstract_entry\">In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI). As these technologies evolve rapidly, it is crucial to explore how they influence code generation, especially given the risk of misuse in areas such as higher education. The present paper explores this issue by using advanced classification techniques to differentiate between code written by humans and code generated by ChatGPT, a type of LLM. We employ a new approach that combines powerful embedding features (black-box) with supervised learning algorithms including Deep Neural Networks, Random Forests, and Extreme Gradient Boosting to achieve this differentiation with an impressive accuracy of 98%. For the successful combinations, we also examine their model calibration, showing that some of the models are extremely well calibrated. Additionally, we present white-box features and an interpretable Bayes classifier to elucidate critical differences between the code sources, enhancing the explainability and transparency of our approach. Both approaches work well, but provide at most 85\u201388% accuracy. Tests on a small sample of untrained humans suggest that humans do not solve the task much better than random guessing. This study is crucial in understanding and mitigating the potential risks associated with using AI in code generation, particularly in the context of higher education, software development, and competitive programming.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2173','tp_abstract')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2173\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53\" title=\"https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53\" target=\"_blank\">https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/ai5030053\" title=\"Folge der DOI-Nummer:10.3390\/ai5030053\" target=\"_blank\">doi:10.3390\/ai5030053<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2173','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lange, Moritz;  Krystiniak, Noah;  Engelhardt, Raphael C.;  Konen, Wolfgang;  Wiskott, Laurenz<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2162','tp_links')\" style=\"cursor:pointer;\">Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Nicosia, Giuseppe;  Pardalos, Panos;  others, (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, <\/span><span class=\"tp_pub_additional_publisher\">Springer Nature Switzerland, <\/span><span class=\"tp_pub_additional_year\">2024<\/span><span class=\"tp_pub_additional_note\">, (Best Paper Award)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2162\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2162','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2162\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2162','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=105#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">auxiliary tasks<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=104#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Representation learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=103#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2162\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Lange2023,<br \/>\r\ntitle = {Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison},<br \/>\r\nauthor = {Moritz Lange and Noah Krystiniak and Raphael C. Engelhardt and Wolfgang Konen and Laurenz Wiskott},<br \/>\r\neditor = {Giuseppe Nicosia and Panos Pardalos and others},<br \/>\r\nurl = {https:\/\/link.springer.com\/book\/10.1007\/978-3-031-53969-5},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\nbooktitle = {Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers},<br \/>\r\npublisher = {Springer Nature Switzerland},<br \/>\r\nnote = {Best Paper Award},<br \/>\r\nkeywords = {auxiliary tasks, reinforcement learning, Representation learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2162','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2162\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/link.springer.com\/book\/10.1007\/978-3-031-53969-5\" title=\"https:\/\/link.springer.com\/book\/10.1007\/978-3-031-53969-5\" target=\"_blank\">https:\/\/link.springer.com\/book\/10.1007\/978-3-031-53969-5<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2162','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C.;  Raycheva, Ralitsa;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2165','tp_links')\" style=\"cursor:pointer;\">\u00d6kolopoly: Case Study on Large Action Spaces in Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Nicosia, Giuseppe;  Pardalos, Panos;  others, (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, <\/span><span class=\"tp_pub_additional_publisher\">Springer Nature Switzerland, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2165\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2165','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2165\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2165','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=108#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Cybernetics<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=106#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Deep Reinforcement Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=107#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Large Action Space<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=103#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=109#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Serious Games<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2165\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Engelhardt2024a,<br \/>\r\ntitle = {\u00d6kolopoly: Case Study on Large Action Spaces in Reinforcement Learning},<br \/>\r\nauthor = {Raphael C. Engelhardt and Ralitsa Raycheva and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\neditor = {Giuseppe Nicosia and Panos Pardalos and others},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\nbooktitle = {Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers},<br \/>\r\npublisher = {Springer Nature Switzerland},<br \/>\r\nkeywords = {Cybernetics, Deep Reinforcement Learning, Large Action Space, RL3, Serious Games},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2165','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2165\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh23a.d\/Engelh23a.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2165','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C;  Meinen, Marcel J;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2178','tp_links')\" style=\"cursor:pointer;\">Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2412.04974, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2178\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2178','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2178\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2178','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=97#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">decision trees<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=68#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">explainable AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=103#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2178\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Engelhardt2024c,<br \/>\r\ntitle = {Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task},<br \/>\r\nauthor = {Raphael C Engelhardt and Marcel J Meinen and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/arxiv.org\/pdf\/2412.04974},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2412.04974},<br \/>\r\nkeywords = {AI, decision trees, deep learning, explainable AI, reinforcement learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2178','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2178\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/pdf\/2412.04974\" title=\"https:\/\/arxiv.org\/pdf\/2412.04974\" target=\"_blank\">https:\/\/arxiv.org\/pdf\/2412.04974<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2178','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lange, Moritz;  Engelhardt, Raphael C;  Konen, Wolfgang;  Wiskott, Laurenz<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2179','tp_links')\" style=\"cursor:pointer;\">Beyond Trial and Error in Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proceedings of the DataNinja sAIOnARA 2024 Conference, <\/span><span class=\"tp_pub_additional_pages\">S. 58, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2179\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2179','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2179\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2179','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=104#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Representation learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=103#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2179\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Lange2024,<br \/>\r\ntitle = {Beyond Trial and Error in Reinforcement Learning},<br \/>\r\nauthor = {Moritz Lange and Raphael C Engelhardt and Wolfgang Konen and Laurenz Wiskott},<br \/>\r\nurl = {https:\/\/biecoll.ub.uni-bielefeld.de\/index.php\/dataninja\/issue\/download\/82\/1#page=63},<br \/>\r\ndoi = {10.11576\/dataninja-1156},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\nbooktitle = {Proceedings of the DataNinja sAIOnARA 2024 Conference},<br \/>\r\npages = {58},<br \/>\r\nkeywords = {reinforcement learning, Representation learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2179','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2179\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/biecoll.ub.uni-bielefeld.de\/index.php\/dataninja\/issue\/download\/82\/1#page=63\" title=\"https:\/\/biecoll.ub.uni-bielefeld.de\/index.php\/dataninja\/issue\/download\/82\/1#page[...]\" target=\"_blank\">https:\/\/biecoll.ub.uni-bielefeld.de\/index.php\/dataninja\/issue\/download\/82\/1#page[...]<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.11576\/dataninja-1156\" title=\"Folge der DOI-Nummer:10.11576\/dataninja-1156\" target=\"_blank\">doi:10.11576\/dataninja-1156<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2179','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lange, Moritz;  Engelhardt, Raphael C;  Konen, Wolfgang;  Wiskott, Laurenz<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2180','tp_links')\" style=\"cursor:pointer;\">Interpretable brain-inspired representations improve RL performance on visual navigation tasks<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2402.12067, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2180\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2180','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2180\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2180','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=104#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Representation learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=103#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2180\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Lange2024a,<br \/>\r\ntitle = {Interpretable brain-inspired representations improve RL performance on visual navigation tasks},<br \/>\r\nauthor = {Moritz Lange and Raphael C Engelhardt and Wolfgang Konen and Laurenz Wiskott},<br \/>\r\nurl = {https:\/\/arxiv.org\/pdf\/2402.12067},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2402.12067},<br \/>\r\nkeywords = {reinforcement learning, Representation learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2180','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2180\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/pdf\/2402.12067\" title=\"https:\/\/arxiv.org\/pdf\/2402.12067\" target=\"_blank\">https:\/\/arxiv.org\/pdf\/2402.12067<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2180','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2023\">2023<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2163','tp_links')\" style=\"cursor:pointer;\">Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2301.12167, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2163\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2163','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2163\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2163','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=18#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=69#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2163\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Konen2023b,<br \/>\r\ntitle = {Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning},<br \/>\r\nauthor = {Wolfgang Konen},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2301.12167},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2301.12167},<br \/>\r\nkeywords = {CI, Game Learning, general game playing, learning, optimization, reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2163','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2163\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2301.12167\" title=\"https:\/\/arxiv.org\/abs\/2301.12167\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2301.12167<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2163','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C;  Oedingen, Marc;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2164','tp_links')\" style=\"cursor:pointer;\">Iterative Oblique Decision Trees Deliver Explainable RL Models<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Algorithms, <\/span><span class=\"tp_pub_additional_volume\">Bd. 16, <\/span><span class=\"tp_pub_additional_number\">Nr. 6, <\/span><span class=\"tp_pub_additional_pages\">S. 282, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2164\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2164','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2164\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2164','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=97#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">decision trees<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=68#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">explainable AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=103#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2164\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Engelhardt2023,<br \/>\r\ntitle = {Iterative Oblique Decision Trees Deliver Explainable RL Models},<br \/>\r\nauthor = {Raphael C Engelhardt and Marc Oedingen and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/www.mdpi.com\/1999-4893\/16\/6\/282},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\nurldate = {2023-01-01},<br \/>\r\njournal = {Algorithms},<br \/>\r\nvolume = {16},<br \/>\r\nnumber = {6},<br \/>\r\npages = {282},<br \/>\r\npublisher = {MDPI},<br \/>\r\nkeywords = {AI, decision trees, deep learning, explainable AI, reinforcement learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2164','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2164\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.mdpi.com\/1999-4893\/16\/6\/282\" title=\"https:\/\/www.mdpi.com\/1999-4893\/16\/6\/282\" target=\"_blank\">https:\/\/www.mdpi.com\/1999-4893\/16\/6\/282<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2164','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C.;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2184','tp_links')\" style=\"cursor:pointer;\">Finding the Relevant Samples for Decision Trees in Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Online Proceedings of the Dataninja Spring School 2023, (Bielefeld, Germany, May 8\u201310, 2023), <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2184\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2184','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2184\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2184','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=80#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=97#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">decision trees<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=68#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">explainable AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=103#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2184\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Engelhardt2023b,<br \/>\r\ntitle = {Finding the Relevant Samples for Decision Trees in Reinforcement Learning},<br \/>\r\nauthor = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\nurl = {https: \/\/dataninja.nrw\/?page_id=1251},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\nbooktitle = {Online Proceedings of the Dataninja Spring School 2023, (Bielefeld, Germany, May 8\u201310, 2023)},<br \/>\r\nkeywords = {AI, decision trees, deep learning, explainable AI, reinforcement learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2184','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2184\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https: \/\/dataninja.nrw\/?page_id=1251\" title=\"https: \/\/dataninja.nrw\/?page_id=1251\" target=\"_blank\">https: \/\/dataninja.nrw\/?page_id=1251<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2184','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2022\">2022<\/h3><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2157','tp_links')\" style=\"cursor:pointer;\">The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">TH K\u00f6ln <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2157\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2157','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2157\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2157','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=18#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=70#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=69#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2157\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Konen2022a,<br \/>\r\ntitle = {The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning},<br \/>\r\nauthor = {Wolfgang Konen},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen22a.d\/TR-GBG.pdf},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-09-01},<br \/>\r\ninstitution = {TH K\u00f6ln},<br \/>\r\nschool = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nkeywords = {CI, Game Learning, GBG, general game playing, learning, optimization, reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2157','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2157\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen22a.d\/TR-GBG.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen22a.d\/TR-GBG.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen22a.d\/TR-GBG.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2157','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C.;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2158','tp_links')\" style=\"cursor:pointer;\">Sample-based Rule Extraction for Explainable Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2158\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2158','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2158\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2158','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=97#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">decision trees<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=68#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">explainable AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=103#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2158\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Engelhardt2022,<br \/>\r\ntitle = {Sample-based Rule Extraction for Explainable Reinforcement Learning},<br \/>\r\nauthor = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh22a.d\/Engelh22a.pdf},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\nurldate = {2022-01-01},<br \/>\r\nbooktitle = {8th International Conference on machine Learning, Optimization, and Data Science (LOD2022)},<br \/>\r\nkeywords = {decision trees, deep learning, explainable AI, reinforcement learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2158','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2158\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh22a.d\/Engelh22a.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh22a.d\/Engelh22a.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh22a.d\/Engelh22a.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2158','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Scheiermann, Johannes;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2159','tp_links')\" style=\"cursor:pointer;\">AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">IEEE Transactions on Games, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2159\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2159','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2159\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2159','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=18#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=70#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=69#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2159\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Scheier2022,<br \/>\r\ntitle = {AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time},<br \/>\r\nauthor = {Johannes Scheiermann and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/ieeexplore.ieee.org\/document\/9893320},<br \/>\r\ndoi = {10.1109\/TG.2022.3206733},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {IEEE Transactions on Games},<br \/>\r\nkeywords = {CI, Game Learning, GBG, general game playing, learning, optimization, reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2159','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2159\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/ieeexplore.ieee.org\/document\/9893320\" title=\"https:\/\/ieeexplore.ieee.org\/document\/9893320\" target=\"_blank\">https:\/\/ieeexplore.ieee.org\/document\/9893320<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/TG.2022.3206733\" title=\"Folge der DOI-Nummer:10.1109\/TG.2022.3206733\" target=\"_blank\">doi:10.1109\/TG.2022.3206733<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2159','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Scheiermann, Johannes;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2160','tp_links')\" style=\"cursor:pointer;\">AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2204.13307, <\/span><span class=\"tp_pub_additional_year\">2022<\/span><span class=\"tp_pub_additional_note\">, (Preprint of the IEEE ToG 2022 paper)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2160\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2160','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2160\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2160','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=18#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=70#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=69#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2160\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Scheier2022arXiv,<br \/>\r\ntitle = {AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time},<br \/>\r\nauthor = {Johannes Scheiermann and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2204.13307},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\nurldate = {2022-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2204.13307},<br \/>\r\nnote = {Preprint of the IEEE ToG 2022 paper},<br \/>\r\nkeywords = {CI, Game Learning, GBG, general game playing, learning, optimization, reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2160','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2160\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2204.13307\" title=\"https:\/\/arxiv.org\/abs\/2204.13307\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2204.13307<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2160','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2021\">2021<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  Konen, Wolfgang;  Wang, Hao;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2142','tp_links')\" style=\"cursor:pointer;\">Temporal convolutional autoencoder for unsupervised anomaly detection in time series<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Applied Soft Computing, <\/span><span class=\"tp_pub_additional_volume\">Bd. 112, <\/span><span class=\"tp_pub_additional_pages\">S. 107751, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2142\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2142','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2142\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2142','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=71#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=68#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">TCN<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2142\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{thill2021temporal,<br \/>\r\ntitle = {Temporal convolutional autoencoder for unsupervised anomaly detection in time series},<br \/>\r\nauthor = {Markus Thill and Wolfgang Konen and Hao Wang and Thomas B\u00e4ck},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.asoc.2021.107751},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Applied Soft Computing},<br \/>\r\nvolume = {112},<br \/>\r\npages = {107751},<br \/>\r\npublisher = {Elsevier},<br \/>\r\nkeywords = {anomaly detection, deep learning, TCN, time series},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2142','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2142\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1016\/j.asoc.2021.107751\" title=\"https:\/\/doi.org\/10.1016\/j.asoc.2021.107751\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.asoc.2021.107751<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2142','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang;  Bagheri, Samineh<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2143','tp_links')\" style=\"cursor:pointer;\">Final adaptation reinforcement learning for N-player games<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2111.14375, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2143\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2143','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2143\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2143','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=18#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=70#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">GBG<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=69#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2143\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{konen2021final,<br \/>\r\ntitle = {Final adaptation reinforcement learning for N-player games},<br \/>\r\nauthor = {Wolfgang Konen and Samineh Bagheri},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2111.14375},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2111.14375},<br \/>\r\nkeywords = {CI, Game Learning, GBG, general game playing, learning, optimization, reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2143','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2143\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2111.14375\" title=\"https:\/\/arxiv.org\/abs\/2111.14375\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2111.14375<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2143','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Reinicke, Ulf;  Anders, Denis;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\">Surrogate-assisted optimization for augmentation of finite element techniques <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Journal of Computational Science, <\/span><span class=\"tp_pub_additional_volume\">Bd. 54, <\/span><span class=\"tp_pub_additional_pages\">S. 101427, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2144\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2144','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=95#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">FEM<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=75#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SACOBRA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=61#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2144\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{bagheri2021surrogate,<br \/>\r\ntitle = {Surrogate-assisted optimization for augmentation of finite element techniques},<br \/>\r\nauthor = {Samineh Bagheri and Ulf Reinicke and Denis Anders and Wolfgang Konen},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Journal of Computational Science},<br \/>\r\nvolume = {54},<br \/>\r\npages = {101427},<br \/>\r\npublisher = {Elsevier},<br \/>\r\nkeywords = {FEM, optimization, SACOBRA, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2144','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael C.;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2145','tp_links')\" style=\"cursor:pointer;\">Shedding light into the black box of reinforcement learning - extended abstract<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Hammer, Barbara;  Schilling, Malte;  Wiskott, Laurenz (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI), <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2145\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2145','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2145\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2145','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=97#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">decision trees<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=68#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=98#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">explainable AI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=103#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">RL3<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2145\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{engelh21,<br \/>\r\ntitle = {Shedding light into the black box of reinforcement learning - extended abstract},<br \/>\r\nauthor = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\neditor = {Barbara Hammer and Malte Schilling and Laurenz Wiskott},<br \/>\r\nurl = {https:\/\/dataninja.nrw\/wp-content\/uploads\/2021\/09\/1_Engelhardt_SheddingLight_Abstract.pdf},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\nurldate = {2021-01-01},<br \/>\r\nbooktitle = {Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI)},<br \/>\r\nkeywords = {decision trees, deep learning, explainable AI, reinforcement learning, RL3},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2145','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2145\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dataninja.nrw\/wp-content\/uploads\/2021\/09\/1_Engelhardt_SheddingLight_Abstract.pdf\" title=\"https:\/\/dataninja.nrw\/wp-content\/uploads\/2021\/09\/1_Engelhardt_SheddingLight_Abst[...]\" target=\"_blank\">https:\/\/dataninja.nrw\/wp-content\/uploads\/2021\/09\/1_Engelhardt_SheddingLight_Abst[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2145','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2020\">2020<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang;  Bagheri, Samineh<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2120','tp_links')\" style=\"cursor:pointer;\">Reinforcement Learning for N-Player Games: The Importance of Final Adaptation<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Vasile, Massimiliano;  Filipic, Bogdan (Hrsg.): <span class=\"tp_pub_additional_booktitle\">9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA)\r\n, <\/span><span class=\"tp_pub_additional_address\">Bruxelles. Video (15 min) + slides available at https:\/\/youtu.be\/OcpX7ITeH9w, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2120\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2120','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2120\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2120','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=18#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=69#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2120\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Konen20b,<br \/>\r\ntitle = {Reinforcement Learning for N-Player Games: The Importance of Final Adaptation},<br \/>\r\nauthor = {Wolfgang Konen and Samineh Bagheri},<br \/>\r\neditor = {Massimiliano Vasile and Bogdan Filipic },<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b.d\/bioma20-TDNTuple.pdf},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-10-01},<br \/>\r\nurldate = {2020-10-01},<br \/>\r\nbooktitle = {9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA)<br \/>\r\n},<br \/>\r\naddress = {Bruxelles. Video (15 min) + slides available at https:\/\/youtu.be\/OcpX7ITeH9w},<br \/>\r\nkeywords = {CI, Game Learning, general game playing, learning, optimization, reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2120','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2120\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b.d\/bioma20-TDNTuple.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b.d\/bioma20-TDNTuple.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b.d\/bioma20-TDNTuple.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2120','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2125','tp_links')\" style=\"cursor:pointer;\">The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining), Oct <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2125\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2125','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2125\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2125','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=18#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=69#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2125\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Konen20d,<br \/>\r\ntitle = {The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning},<br \/>\r\nauthor = {Wolfgang Konen},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20d.d\/TR-GBG.pdf},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-10},<br \/>\r\nurldate = {2020-01-10},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining), Oct},<br \/>\r\nkeywords = {CI, Game Learning, general game playing, learning, optimization, reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2125','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2125\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20d.d\/TR-GBG.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20d.d\/TR-GBG.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20d.d\/TR-GBG.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2125','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang;  Bagheri, Samineh<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2121','tp_links')\" style=\"cursor:pointer;\">Final Adaptation Reinforcement Learning for N-Player Games<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining) <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2121\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2121','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2121\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2121','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=18#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=69#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2121\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Konen20b_TR,<br \/>\r\ntitle = {Final Adaptation Reinforcement Learning for N-Player Games},<br \/>\r\nauthor = {Wolfgang Konen and Samineh Bagheri},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b_TR.d\/Konen20b_TR.pdf},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nurldate = {2020-01-01},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nkeywords = {CI, Game Learning, general game playing, learning, optimization, reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2121','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2121\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b_TR.d\/Konen20b_TR.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b_TR.d\/Konen20b_TR.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Konen20b_TR.d\/Konen20b_TR.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2121','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2123','tp_links')\" style=\"cursor:pointer;\">Die CO2-Kosten des Video-Streaming<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Die Neue Hochschule (dnh), <\/span><span class=\"tp_pub_additional_volume\">Bd. 3, <\/span><span class=\"tp_pub_additional_pages\">S. 18-19, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2123\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2123','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2123\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2123','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=85#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">digital content<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=84#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">online teaching<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=83#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">video streaming<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2123\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Konen20c,<br \/>\r\ntitle = {Die CO2-Kosten des Video-Streaming},<br \/>\r\nauthor = {Wolfgang Konen},<br \/>\r\nurl = {https:\/\/www.th-koeln.de\/mam\/downloads\/deutsch\/hochschule\/aktuell\/nachrichten\/dnh_2020-3_vorveroffentlichung_beitrag_konen.pdf},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\njournal = {Die Neue Hochschule (dnh)},<br \/>\r\nvolume = {3},<br \/>\r\npages = {18-19},<br \/>\r\nkeywords = {digital content, online teaching, video streaming},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2123','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2123\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.th-koeln.de\/mam\/downloads\/deutsch\/hochschule\/aktuell\/nachrichten\/dnh_2020-3_vorveroffentlichung_beitrag_konen.pdf\" title=\"https:\/\/www.th-koeln.de\/mam\/downloads\/deutsch\/hochschule\/aktuell\/nachrichten\/dnh[...]\" target=\"_blank\">https:\/\/www.th-koeln.de\/mam\/downloads\/deutsch\/hochschule\/aktuell\/nachrichten\/dnh[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2123','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2124','tp_links')\" style=\"cursor:pointer;\">Time Series Encodings with Temporal Convolutional Networks<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Vasile, Massimiliano;  Filipic, Bogdan (Hrsg.): <span class=\"tp_pub_additional_booktitle\">9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), <\/span><span class=\"tp_pub_additional_address\">Bruxelles. Video (15 min) available at https:\/\/youtu.be\/PjI4fpcTGFY, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2124\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2124','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2124\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2124','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=71#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=68#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">TCN<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2124\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Thill20a,<br \/>\r\ntitle = {Time Series Encodings with Temporal Convolutional Networks},<br \/>\r\nauthor = {Markus Thill and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Massimiliano Vasile and Bogdan Filipic },<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill20a.d\/bioma2020-tcn.pdf},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nbooktitle = {9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA)},<br \/>\r\naddress = {Bruxelles. Video (15 min) available at https:\/\/youtu.be\/PjI4fpcTGFY},<br \/>\r\nkeywords = {anomaly detection, deep learning, TCN, time series},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2124','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2124\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill20a.d\/bioma2020-tcn.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill20a.d\/bioma2020-tcn.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill20a.d\/bioma2020-tcn.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2124','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_misc\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2134','tp_links')\" style=\"cursor:pointer;\">Predictive Maintenance &amp; Anomalie-Erkennung: Effiziente Instandhaltung mit Verfahren der KI<\/a> <span class=\"tp_pub_type tp_  misc\">Sonstige<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_howpublished\">Vortrag DEBRL2020 (Digital Exchange Bergisches Rheinland 2020), als Video \u00fcber https:\/\/digital-xchange.de\/streaming verf\u00fcgbar, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2134\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2134','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2134\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2134','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=71#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=68#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=86#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">TCN<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2134\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@misc{Thill20b,<br \/>\r\ntitle = {Predictive Maintenance & Anomalie-Erkennung: Effiziente Instandhaltung mit Verfahren der KI},<br \/>\r\nauthor = {Markus Thill and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/www.youtube.com\/watch?v=Nbo5tli3ktk&list=PLg18N4cpmw8xVsn1xEJtxY_1FIhGK3s1Y&index=11},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-00-01},<br \/>\r\nhowpublished = {Vortrag DEBRL2020 (Digital Exchange Bergisches Rheinland 2020), als Video \u00fcber https:\/\/digital-xchange.de\/streaming verf\u00fcgbar},<br \/>\r\nkeywords = {anomaly detection, deep learning, TCN, time series},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {misc}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2134','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2134\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fab fa-youtube\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.youtube.com\/watch?v=Nbo5tli3ktk&amp;list=PLg18N4cpmw8xVsn1xEJtxY_1FIhGK3s1Y&amp;index=11\" title=\"https:\/\/www.youtube.com\/watch?v=Nbo5tli3ktk&amp;list=PLg18N4cpmw8xVsn1xEJtxY_1FI[...]\" target=\"_blank\">https:\/\/www.youtube.com\/watch?v=Nbo5tli3ktk&amp;list=PLg18N4cpmw8xVsn1xEJtxY_1FI[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2134','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2019\">2019<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2110','tp_links')\" style=\"cursor:pointer;\">General Board Game Playing for Education and Research in Generic AI Game Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Perez, Diego;  Mostaghim, Sanaz;  Lucas, Simon (Hrsg.): <span class=\"tp_pub_additional_booktitle\">IEEE Conference on Games, <\/span><span class=\"tp_pub_additional_address\">London, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2110\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2110','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2110\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2110','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=18#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=69#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2110\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Konen19b,<br \/>\r\ntitle = {General Board Game Playing for Education and Research in Generic AI Game Learning},<br \/>\r\nauthor = {Wolfgang Konen},<br \/>\r\neditor = {Diego Perez and Sanaz Mostaghim and Simon Lucas},<br \/>\r\nurl = {https:\/\/arxiv.org\/pdf\/1907.06508},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-08-20},<br \/>\r\nbooktitle = {IEEE Conference on Games},<br \/>\r\naddress = {London},<br \/>\r\nkeywords = {CI, Game Learning, general game playing, learning, optimization, reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2110','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2110\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/pdf\/1907.06508\" title=\"https:\/\/arxiv.org\/pdf\/1907.06508\" target=\"_blank\">https:\/\/arxiv.org\/pdf\/1907.06508<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2110','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2107','tp_links')\" style=\"cursor:pointer;\">SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">arXiv preprint arXiv:1904.08397 <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2107\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2107','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2107\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2107','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=75#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SACOBRA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=61#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2107\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Bagh19b,<br \/>\r\ntitle = {SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning},<br \/>\r\nauthor = {Samineh Bagheri and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/1904.08397},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-07-01},<br \/>\r\ninstitution = {arXiv preprint arXiv:1904.08397},<br \/>\r\nkeywords = {optimization, SACOBRA, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2107','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2107\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/1904.08397\" title=\"https:\/\/arxiv.org\/abs\/1904.08397\" target=\"_blank\">https:\/\/arxiv.org\/abs\/1904.08397<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2107','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2113','tp_links')\" style=\"cursor:pointer;\">Solving Optimization Problems with High Conditioning by Means of Online Whitening<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Lopez-Ibanez, Manuel (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague, <\/span><span class=\"tp_pub_additional_pages\">S. 243-244, <\/span><span class=\"tp_pub_additional_publisher\">ACM, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2113\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2113','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2113\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2113','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=35#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">constraints<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=26#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">MONREP<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=75#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SACOBRA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=61#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2113\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Bagh19c,<br \/>\r\ntitle = {Solving Optimization Problems with High Conditioning by Means of Online Whitening},<br \/>\r\nauthor = {Samineh Bagheri and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Manuel Lopez-Ibanez},<br \/>\r\nurl = {http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2019\/07\/GECCO2019.pdf},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-07-01},<br \/>\r\nbooktitle = {Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague},<br \/>\r\npages = {243-244},<br \/>\r\npublisher = {ACM},<br \/>\r\nkeywords = {CI, constraints, MONREP, optimization, SACOBRA, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2113','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2113\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2019\/07\/GECCO2019.pdf\" title=\"http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2019\/07\/GECCO2019.pdf\" target=\"_blank\">http:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2019\/07\/GECCO2019.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2113','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\">How to Solve the Dilemma of Margin-Based Equality Constraint Handling Methods <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">at-Automatisierungstechnik, <\/span><span class=\"tp_pub_additional_volume\">Bd. submitted, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2106\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2106','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=75#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SACOBRA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=61#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2106\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Bagh19a,<br \/>\r\ntitle = {How to Solve the Dilemma of Margin-Based Equality Constraint Handling Methods},<br \/>\r\nauthor = {Samineh Bagheri and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\njournal = {at-Automatisierungstechnik},<br \/>\r\nvolume = {submitted},<br \/>\r\nkeywords = {optimization, SACOBRA, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2106','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_misc\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Buhl, Henning;  Konen, Wolfgang;  Thill, Markus<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2108','tp_links')\" style=\"cursor:pointer;\">Deep Learning mit Keras und Tensorflow<\/a> <span class=\"tp_pub_type tp_  misc\">Sonstige<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_howpublished\">Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019), <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2108\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2108','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2108\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2108','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=68#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2108\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@misc{Buhl19,<br \/>\r\ntitle = {Deep Learning mit Keras und Tensorflow},<br \/>\r\nauthor = {Henning Buhl and Wolfgang Konen and Markus Thill},<br \/>\r\nurl = {https:\/\/github.com\/HenningBuhl\/DLKTF},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\nhowpublished = {Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019)},<br \/>\r\nkeywords = {deep learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {misc}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2108','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2108\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fab fa-github\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/github.com\/HenningBuhl\/DLKTF\" title=\"https:\/\/github.com\/HenningBuhl\/DLKTF\" target=\"_blank\">https:\/\/github.com\/HenningBuhl\/DLKTF<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2108','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2109','tp_links')\" style=\"cursor:pointer;\">The GBG Class Interface Tutorial V2.0: General Board Game Playing and Learning<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining) <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2109\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2109','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2109\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2109','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=18#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=69#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2109\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Konen19a,<br \/>\r\ntitle = {The GBG Class Interface Tutorial V2.0: General Board Game Playing and Learning},<br \/>\r\nauthor = {Wolfgang Konen},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone19a.d\/TR-GBG.pdf},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nkeywords = {CI, Game Learning, general game playing, learning, optimization, reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2109','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2109\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone19a.d\/TR-GBG.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone19a.d\/TR-GBG.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone19a.d\/TR-GBG.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2109','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  D\u00e4ubner, Sina;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2117','tp_links')\" style=\"cursor:pointer;\">Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Baranc\u00edkov\u00e1, Petra;  Holena, Martin;  others, (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Proc. 19th Conference Information Technologies - Applications \r\n and Theory (ITAT 2019), <\/span><span class=\"tp_pub_additional_year\">2019<\/span><span class=\"tp_pub_additional_note\">, (Best Paper Award)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2117\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2117','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2117\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2117','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=71#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=68#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">deep learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=81#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">LSTM<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2117\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Thill2019a,<br \/>\r\ntitle = {Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks},<br \/>\r\nauthor = {Markus Thill and Sina D\u00e4ubner and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Petra Baranc\u00edkov\u00e1 and Martin Holena and others},<br \/>\r\nurl = {http:\/\/ceur-ws.org\/Vol-2473},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\nbooktitle = {Proc. 19th Conference Information Technologies - Applications <br \/>\r\n and Theory (ITAT 2019)},<br \/>\r\nvolume = {2473},<br \/>\r\nseries = {CEUR Workshop Proceedings},<br \/>\r\nnote = {Best Paper Award},<br \/>\r\nkeywords = {anomaly detection, deep learning, learning, LSTM, time series},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2117','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2117\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/ceur-ws.org\/Vol-2473\" title=\"http:\/\/ceur-ws.org\/Vol-2473\" target=\"_blank\">http:\/\/ceur-ws.org\/Vol-2473<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2117','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2018\">2018<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2111','tp_links')\" style=\"cursor:pointer;\">How to Solve the Dilemma of Margin-Based Equality Handling Methods<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Hoffmann, Frank;  H\u00fcllermeier, Eyke;  Mikut, Ralf (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018, <\/span><span class=\"tp_pub_additional_pages\">S. 257-270, <\/span><span class=\"tp_pub_additional_publisher\">KIT Scientific Publishing, Karlsruhe, <\/span><span class=\"tp_pub_additional_year\">2018<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-3-7315-0845-8<\/span><span class=\"tp_pub_additional_note\">, (**Young Author Award**)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2111\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2111','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2111\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2111','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=76#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">equality constraint<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=75#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SACOBRA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=61#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2111\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Bagheri2018,<br \/>\r\ntitle = {How to Solve the Dilemma of Margin-Based Equality Handling Methods},<br \/>\r\nauthor = {Samineh Bagheri and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Frank Hoffmann and Eyke H\u00fcllermeier and Ralf Mikut},<br \/>\r\nurl = {https:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2018\/12\/GMA2018.pdf},<br \/>\r\ndoi = {10.5445\/KSP\/1000085935},<br \/>\r\nisbn = {978-3-7315-0845-8},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-11-29},<br \/>\r\nbooktitle = {Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018},<br \/>\r\npages = {257-270},<br \/>\r\npublisher = {KIT Scientific Publishing, Karlsruhe},<br \/>\r\nnote = {**Young Author Award**},<br \/>\r\nkeywords = {equality constraint, optimization, SACOBRA, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2111','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2111\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2018\/12\/GMA2018.pdf\" title=\"https:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2018\/12\/GMA2018.pdf\" target=\"_blank\">https:\/\/blogs.gm.fh-koeln.de\/ciop\/files\/2018\/12\/GMA2018.pdf<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.5445\/KSP\/1000085935\" title=\"Folge der DOI-Nummer:10.5445\/KSP\/1000085935\" target=\"_blank\">doi:10.5445\/KSP\/1000085935<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2111','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2105','tp_links')\" style=\"cursor:pointer;\">Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining) <\/span><span class=\"tp_pub_additional_address\">TH K\u00f6ln - University of Applied Science, <\/span><span class=\"tp_pub_additional_year\">2018<\/span><span class=\"tp_pub_additional_note\">, (submitted to Archives of Data Sciences, Series A (ECDA'2018), preprint available at http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill18a.d\/AoDS2018.pdf)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2105\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2105','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2105\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2105','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=71#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=72#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">DWT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=74#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">maximum likelihood estimation<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=73#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">wavelet transform<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2105\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Thill2018,<br \/>\r\ntitle = {Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions},<br \/>\r\nauthor = {Markus Thill and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill18.d\/AoDS2018.pdf},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-11-01},<br \/>\r\naddress = {TH K\u00f6ln - University of Applied Science},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nnote = {submitted to Archives of Data Sciences, Series A (ECDA'2018), preprint available at http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill18a.d\/AoDS2018.pdf},<br \/>\r\nkeywords = {anomaly detection, DWT, maximum likelihood estimation, time series, wavelet transform},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2105','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2105\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill18.d\/AoDS2018.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill18.d\/AoDS2018.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill18.d\/AoDS2018.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2105','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang;  Koch, Patrick<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2103','tp_links')\" style=\"cursor:pointer;\">The TDMR 2.0 Package: Tuned Data Mining in R<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining) <\/span><span class=\"tp_pub_additional_address\">Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, <\/span><span class=\"tp_pub_additional_number\">Nr. 02\/2018, <\/span><span class=\"tp_pub_additional_year\">2018<\/span><span class=\"tp_pub_additional_note\">, (Last update: April 2018 (original version: 2012))<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2103\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2103','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2103\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2103','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=31#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">parameter tuning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=36#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SOMA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=9#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">TDMR<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2103\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Kone18a,<br \/>\r\ntitle = {The TDMR 2.0 Package: Tuned Data Mining in R},<br \/>\r\nauthor = {Wolfgang Konen and Patrick Koch},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12a.d\/Kone12a.pdf},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-04-01},<br \/>\r\nnumber = {02\/2018},<br \/>\r\naddress = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nnote = {Last update: April 2018 (original version: 2012)},<br \/>\r\nkeywords = {parameter tuning, SOMA, TDMR},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2103','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2103\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12a.d\/Kone12a.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12a.d\/Kone12a.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12a.d\/Kone12a.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2103','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang;  Koch, Patrick<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2104','tp_links')\" style=\"cursor:pointer;\">The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining) <\/span><span class=\"tp_pub_additional_address\">Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, <\/span><span class=\"tp_pub_additional_number\">Nr. 03\/2018, <\/span><span class=\"tp_pub_additional_year\">2018<\/span><span class=\"tp_pub_additional_note\">, (Last update: April 2018 (original version: 2012))<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2104\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2104','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2104\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2104','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=31#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">parameter tuning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=36#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">SOMA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=9#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">TDMR<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2104\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Kone18b,<br \/>\r\ntitle = {The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R},<br \/>\r\nauthor = {Wolfgang Konen and Patrick Koch},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12b.d\/Kone12b.pdf},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-04-01},<br \/>\r\nnumber = {03\/2018},<br \/>\r\naddress = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nnote = {Last update: April 2018 (original version: 2012)},<br \/>\r\nkeywords = {parameter tuning, SOMA, TDMR},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2104','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2104\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12b.d\/Kone12b.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12b.d\/Kone12b.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone12b.d\/Kone12b.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2104','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2017\">2017<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2096','tp_links')\" style=\"cursor:pointer;\">Comparing Kriging and Radial Basis Function Surrogates<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Hoffmann, Frank;  H\u00fcllermeier, Eyke (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Proceedings 27. Workshop Computational Intelligence, <\/span><span class=\"tp_pub_additional_pages\">S. 243-259, <\/span><span class=\"tp_pub_additional_publisher\">Universit\u00e4tsverlag Karlsruhe, <\/span><span class=\"tp_pub_additional_year\">2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2096\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2096','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2096\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2096','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=35#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">constraints<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=60#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Kriging<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=26#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">MONREP<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=61#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2096\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Bagh17c,<br \/>\r\ntitle = {Comparing Kriging and Radial Basis Function Surrogates},<br \/>\r\nauthor = {Samineh Bagheri and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Frank Hoffmann and Eyke H\u00fcllermeier},<br \/>\r\nurl = {https:\/\/publikationen.bibliothek.kit.edu\/1000074341},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-11-01},<br \/>\r\nbooktitle = {Proceedings 27. Workshop Computational Intelligence},<br \/>\r\npages = {243-259},<br \/>\r\npublisher = {Universit\u00e4tsverlag Karlsruhe},<br \/>\r\nkeywords = {CI, constraints, Kriging, MONREP, optimization, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2096','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2096\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/publikationen.bibliothek.kit.edu\/1000074341\" title=\"https:\/\/publikationen.bibliothek.kit.edu\/1000074341\" target=\"_blank\">https:\/\/publikationen.bibliothek.kit.edu\/1000074341<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2096','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2100','tp_links')\" style=\"cursor:pointer;\">Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Hoffmann, Frank;  H\u00fcllermeier, Eyke (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Proceedings 27. Workshop Computational Intelligence, <\/span><span class=\"tp_pub_additional_pages\">S. 67-71, <\/span><span class=\"tp_pub_additional_publisher\">Universit\u00e4tsverlag Karlsruhe, <\/span><span class=\"tp_pub_additional_year\">2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2100\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2100','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2100\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2100','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=71#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=72#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">DWT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2100\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Thill2017c,<br \/>\r\ntitle = {Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation},<br \/>\r\nauthor = {Markus Thill and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Frank Hoffmann and Eyke H\u00fcllermeier},<br \/>\r\nurl = {https:\/\/publikationen.bibliothek.kit.edu\/1000074341},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-11-01},<br \/>\r\nbooktitle = {Proceedings 27. Workshop Computational Intelligence},<br \/>\r\npages = {67-71},<br \/>\r\npublisher = {Universit\u00e4tsverlag Karlsruhe},<br \/>\r\nkeywords = {anomaly detection, DWT, time series},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2100','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2100\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/publikationen.bibliothek.kit.edu\/1000074341\" title=\"https:\/\/publikationen.bibliothek.kit.edu\/1000074341\" target=\"_blank\">https:\/\/publikationen.bibliothek.kit.edu\/1000074341<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2100','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  Allmendinger, Richard;  Branke, J\u00fcrgen;  Deb, Kalyanmoy;  Fieldsend, Jonathan;  Quagliarella, Domenico;  Sindhya, Karthik<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2000','tp_links')\" style=\"cursor:pointer;\">Constraint Handling in Efficient Global Optimization<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Bosman, Peter A. N. (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin, <\/span><span class=\"tp_pub_additional_pages\">S. 1, <\/span><span class=\"tp_pub_additional_publisher\">ACM, <\/span><span class=\"tp_pub_additional_year\">2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2000\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2000','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2000\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2000','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=35#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">constraints<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=60#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Kriging<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=26#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">MONREP<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=61#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2000\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Bagh17a,<br \/>\r\ntitle = {Constraint Handling in Efficient Global Optimization},<br \/>\r\nauthor = { Samineh Bagheri and Wolfgang Konen and Richard Allmendinger and J\u00fcrgen Branke and Kalyanmoy Deb and Jonathan Fieldsend and Domenico Quagliarella and Karthik Sindhya},<br \/>\r\neditor = {Bosman, Peter A. N.},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh17-GECCO.pdf},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-07-01},<br \/>\r\nbooktitle = {Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin},<br \/>\r\npages = {1},<br \/>\r\npublisher = {ACM},<br \/>\r\nkeywords = {CI, constraints, Kriging, MONREP, optimization, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2000','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2000\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh17-GECCO.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh17-GECCO.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh17-GECCO.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2000','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2099','tp_links')\" style=\"cursor:pointer;\">Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Valenzuela, Olga;  Rojas, Ignacio;  others, (Hrsg.): <span class=\"tp_pub_additional_booktitle\">International Work-Conference on Time Series (ITISE2017), <\/span><span class=\"tp_pub_additional_year\">2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2099\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2099','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2099\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2099','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=71#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=72#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">DWT<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2099\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Thill17b-ITISE,<br \/>\r\ntitle = {Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation},<br \/>\r\nauthor = {Markus Thill and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Olga Valenzuela and Ignacio Rojas and others},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill17b.d\/Thill17b-ITISE.pdf},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-07-01},<br \/>\r\nbooktitle = {International Work-Conference on Time Series (ITISE2017)},<br \/>\r\nkeywords = {anomaly detection, DWT, time series},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2099','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2099\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill17b.d\/Thill17b-ITISE.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill17b.d\/Thill17b-ITISE.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill17b.d\/Thill17b-ITISE.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2099','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2090','tp_links')\" style=\"cursor:pointer;\">The GBG Class Interface Tutorial: General Board Game Playing and Learning<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining) <\/span><span class=\"tp_pub_additional_address\">Cologne University of Applied Science, <\/span><span class=\"tp_pub_additional_year\">2017<\/span><span class=\"tp_pub_additional_note\">, (e-print published at http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone17a.d\/TR-GBG.pdf)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2090\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2090','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2090\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2090','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=18#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=69#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">general game playing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2090\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Kone17a,<br \/>\r\ntitle = {The GBG Class Interface Tutorial: General Board Game Playing and Learning},<br \/>\r\nauthor = {Konen, Wolfgang},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone17a.d\/TR-GBG.pdf},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-06-01},<br \/>\r\naddress = {Cologne University of Applied Science},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nnote = {e-print published at http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone17a.d\/TR-GBG.pdf},<br \/>\r\nkeywords = {CI, Game Learning, general game playing, learning, optimization, reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2090','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2090\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone17a.d\/TR-GBG.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone17a.d\/TR-GBG.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Kone17a.d\/TR-GBG.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2090','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  Emmerich, Michael;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2092','tp_links')\" style=\"cursor:pointer;\">Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Applied Soft Computing, <\/span><span class=\"tp_pub_additional_volume\">Bd. 61, <\/span><span class=\"tp_pub_additional_pages\">S. 377-393, <\/span><span class=\"tp_pub_additional_year\">2017<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 1568-4946<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2092\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2092','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2092\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2092','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=35#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">constraints<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=26#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">MONREP<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=61#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">surrogate models<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2092\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Bagh17b,<br \/>\r\ntitle = {Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets},<br \/>\r\nauthor = {Samineh Bagheri and Wolfgang Konen and Michael Emmerich and Thomas B\u00e4ck},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Bagh17b\/ASOC-SACOBRA17.pdf},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1016\/j.asoc.2017.07.060},<br \/>\r\nissn = {1568-4946},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-01-01},<br \/>\r\njournal = {Applied Soft Computing},<br \/>\r\nvolume = {61},<br \/>\r\npages = {377-393},<br \/>\r\nkeywords = {CI, constraints, MONREP, optimization, surrogate models},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2092','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2092\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Bagh17b\/ASOC-SACOBRA17.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Bagh17b\/ASOC-SACOBRA17.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Bagh17b\/ASOC-SACOBRA17.pdf<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1016\/j.asoc.2017.07.060\" title=\"Folge der DOI-Nummer:https:\/\/doi.org\/10.1016\/j.asoc.2017.07.060\" target=\"_blank\">doi:https:\/\/doi.org\/10.1016\/j.asoc.2017.07.060<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2092','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Thill, Markus;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2098','tp_links')\" style=\"cursor:pointer;\">Online anomaly detection on the Webscope S5 dataset: A comparative study<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017), <\/span><span class=\"tp_pub_additional_pages\">S. 1, <\/span><span class=\"tp_pub_additional_organization\">Springer <\/span><span class=\"tp_pub_additional_year\">2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2098\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2098','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2098\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2098','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=71#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">anomaly detection<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=51#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">time series<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2098\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Thill17a-SORAD,<br \/>\r\ntitle = {Online anomaly detection on the Webscope S5 dataset: A comparative study},<br \/>\r\nauthor = {Markus Thill and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill17a.d\/Thill17a-SORAD.pdf},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-01-01},<br \/>\r\nbooktitle = {IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017)},<br \/>\r\npages = {1},<br \/>\r\norganization = {Springer},<br \/>\r\nkeywords = {anomaly detection, time series},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2098','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2098\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill17a.d\/Thill17a-SORAD.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill17a.d\/Thill17a-SORAD.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Thill17a.d\/Thill17a-SORAD.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2098','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2016\">2016<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2091','tp_links')\" style=\"cursor:pointer;\">Online Selection of Surrogate Models for Constrained Black-Box Optimization<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Jin, Yaochu (Hrsg.): <span class=\"tp_pub_additional_booktitle\">SSCI'2016, Athens, <\/span><span class=\"tp_pub_additional_pages\">S. 1, <\/span><span class=\"tp_pub_additional_publisher\">IEEE, <\/span><span class=\"tp_pub_additional_year\">2016<\/span><span class=\"tp_pub_additional_note\">, (**Best Student Paper Award**)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2091\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2091','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2091\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2091','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=35#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">constraints<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=32#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">ensemble<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=26#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">MONREP<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2091\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Bagh16c,<br \/>\r\ntitle = {Online Selection of Surrogate Models for Constrained Black-Box Optimization},<br \/>\r\nauthor = {Samineh Bagheri and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Yaochu Jin},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh16-SSCI.pdf},<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-12-01},<br \/>\r\nbooktitle = {SSCI'2016, Athens},<br \/>\r\npages = {1},<br \/>\r\npublisher = {IEEE},<br \/>\r\nnote = {**Best Student Paper Award**},<br \/>\r\nkeywords = {CI, constraints, ensemble, MONREP, optimization},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2091','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2091\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh16-SSCI.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh16-SSCI.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh16-SSCI.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2091','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1997','tp_links')\" style=\"cursor:pointer;\">Equality Constraint Handling for Surrogate-Assisted Constrained Optimization<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Tan, Kay Chen (Hrsg.): <span class=\"tp_pub_additional_booktitle\">WCCI'2016, Vancouver, <\/span><span class=\"tp_pub_additional_pages\">S.  1924\u20131931, <\/span><span class=\"tp_pub_additional_publisher\">IEEE, <\/span><span class=\"tp_pub_additional_year\">2016<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1997\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1997','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1997\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1997','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=35#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">constraints<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=26#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">MONREP<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1997\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Bagh16a,<br \/>\r\ntitle = {Equality Constraint Handling for Surrogate-Assisted Constrained Optimization},<br \/>\r\nauthor = { Samineh Bagheri and Wolfgang Konen and Thomas B\u00e4ck},<br \/>\r\neditor = {Tan, Kay Chen},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh16-WCCI.pdf},<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-07-01},<br \/>\r\nbooktitle = {WCCI'2016, Vancouver},<br \/>\r\npages = { 1924--1931},<br \/>\r\npublisher = {IEEE},<br \/>\r\nkeywords = {CI, constraints, MONREP, optimization},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1997','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1997\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh16-WCCI.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh16-WCCI.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh16-WCCI.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1997','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2056','tp_links')\" style=\"cursor:pointer;\">Illumination-invariant image mosaic calculation based on logarithmic search<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining) <\/span><span class=\"tp_pub_additional_address\">Cologne University of Applied Science, <\/span><span class=\"tp_pub_additional_year\">2016<\/span><span class=\"tp_pub_additional_note\">, (e-print published at http:\/\/arxiv.org\/abs\/1603.06433)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2056\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2056','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2056\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2056','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=12#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">BV-3D-Endo<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=10#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">computer vision<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=11#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">image mosaic<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=59#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">LogSearch<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=29#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">neuroendoscopy<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2056\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Kone16a,<br \/>\r\ntitle = {Illumination-invariant image mosaic calculation based on logarithmic search},<br \/>\r\nauthor = { Wolfgang Konen},<br \/>\r\nurl = {http:\/\/arxiv.org\/abs\/1603.06433},<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-03-01},<br \/>\r\naddress = {Cologne University of Applied Science},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nnote = {e-print published at http:\/\/arxiv.org\/abs\/1603.06433},<br \/>\r\nkeywords = {BV-3D-Endo, computer vision, image mosaic, LogSearch, neuroendoscopy},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2056','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2056\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/arxiv.org\/abs\/1603.06433\" title=\"http:\/\/arxiv.org\/abs\/1603.06433\" target=\"_blank\">http:\/\/arxiv.org\/abs\/1603.06433<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2056','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Thill, Markus;  Koch, Patrick;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1998','tp_links')\" style=\"cursor:pointer;\">Online Adaptable Learning Rates for the Game Connect-4<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">IEEE Transactions on Computational Intelligence and AI in Games, <\/span><span class=\"tp_pub_additional_volume\">Bd. 8, <\/span><span class=\"tp_pub_additional_number\">Nr. 1, <\/span><span class=\"tp_pub_additional_pages\">S. 33-42, <\/span><span class=\"tp_pub_additional_year\">2016<\/span><span class=\"tp_pub_additional_note\">, (accepted 11\/2014)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1998\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1998','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1998\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1998','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=18#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">Game Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=13#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=50#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">reinforcement learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1998\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Bagh16b,<br \/>\r\ntitle = {Online Adaptable Learning Rates for the Game Connect-4},<br \/>\r\nauthor = { Samineh Bagheri and Markus Thill and Patrick Koch and Wolfgang Konen},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/\/Bagh15.pdf},<br \/>\r\ndoi = {10.1109\/TCIAIG.2014.2367105},<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-01-01},<br \/>\r\njournal = {IEEE Transactions on Computational Intelligence and AI in Games},<br \/>\r\nvolume = {8},<br \/>\r\nnumber = {1},<br \/>\r\npages = {33-42},<br \/>\r\nnote = {accepted 11\/2014},<br \/>\r\nkeywords = {CI, Game Learning, learning, optimization, reinforcement learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1998','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1998\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/\/Bagh15.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/\/Bagh15.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/\/Bagh15.pdf<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/TCIAIG.2014.2367105\" title=\"Folge der DOI-Nummer:10.1109\/TCIAIG.2014.2367105\" target=\"_blank\">doi:10.1109\/TCIAIG.2014.2367105<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1998','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2015\">2015<\/h3><div class=\"tp_publication tp_publication_techreport\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  Emmerich, Michael;  B\u00e4ck, Thomas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1996','tp_links')\" style=\"cursor:pointer;\">Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control<\/a> <span class=\"tp_pub_type tp_  techreport\">Forschungsbericht<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_institution\">Research Center CIOP (Computational Intelligence, Optimization and Data Mining) <\/span><span class=\"tp_pub_additional_address\">Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, <\/span><span class=\"tp_pub_additional_number\">Nr. 06\/15; arXiv: 1512.09251, <\/span><span class=\"tp_pub_additional_year\">2015<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 2191-365X<\/span><span class=\"tp_pub_additional_note\">, (e-print published at http:\/\/arxiv.org\/abs\/1512.09251)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1996\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1996','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1996\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1996','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=35#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">constraints<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=26#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">MONREP<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1996\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@techreport{Bagh15c,<br \/>\r\ntitle = {Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control},<br \/>\r\nauthor = { Samineh Bagheri and Wolfgang Konen and Michael Emmerich and Thomas B\u00e4ck},<br \/>\r\nurl = {http:\/\/arxiv.org\/abs\/1512.09251},<br \/>\r\nissn = {2191-365X},<br \/>\r\nyear  = {2015},<br \/>\r\ndate = {2015-12-01},<br \/>\r\nnumber = {06\/15; arXiv: 1512.09251},<br \/>\r\naddress = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},<br \/>\r\ninstitution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},<br \/>\r\nnote = {e-print published at http:\/\/arxiv.org\/abs\/1512.09251},<br \/>\r\nkeywords = {CI, constraints, MONREP, optimization},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {techreport}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1996','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1996\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/arxiv.org\/abs\/1512.09251\" title=\"http:\/\/arxiv.org\/abs\/1512.09251\" target=\"_blank\">http:\/\/arxiv.org\/abs\/1512.09251<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1996','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bagheri, Samineh;  Konen, Wolfgang;  Foussette, Christophe;  Krause, Peter;  B\u00e4ck, Thomas;  Koch, Patrick<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1995','tp_links')\" style=\"cursor:pointer;\">SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Hoffmann, Frank;  H\u00fcllermeier, Eyke (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Proceedings 25. Workshop Computational Intelligence, <\/span><span class=\"tp_pub_additional_pages\">S. 87-98, <\/span><span class=\"tp_pub_additional_publisher\">Universit\u00e4tsverlag Karlsruhe, <\/span><span class=\"tp_pub_additional_year\">2015<\/span><span class=\"tp_pub_additional_note\">, (**Young Author Award**)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1995\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1995','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1995\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1995','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Schlagw\u00f6rter: <\/span><a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=33#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">CI<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=35#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">constraints<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=26#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">MONREP<\/a>, <a rel=\"nofollow\" href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?tgid=27#tppubs\" title=\"Alle Publikationen anzeigen, die mit diesem Tag verbunden sind.\">optimization<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1995\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Bagh15b,<br \/>\r\ntitle = {SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF},<br \/>\r\nauthor = { Samineh Bagheri and Wolfgang Konen and Christophe Foussette and Peter Krause and Thomas B\u00e4ck and Patrick Koch},<br \/>\r\neditor = {Hoffmann, Frank and H\u00fcllermeier, Eyke},<br \/>\r\nurl = {http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh15-GMA-CI.pdf},<br \/>\r\nyear  = {2015},<br \/>\r\ndate = {2015-11-01},<br \/>\r\nbooktitle = {Proceedings 25. Workshop Computational Intelligence},<br \/>\r\npages = {87-98},<br \/>\r\npublisher = {Universit\u00e4tsverlag Karlsruhe},<br \/>\r\nnote = {**Young Author Award**},<br \/>\r\nkeywords = {CI, constraints, MONREP, optimization},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1995','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1995\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh15-GMA-CI.pdf\" title=\"http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh15-GMA-CI.pdf\" target=\"_blank\">http:\/\/www.gm.fh-koeln.de\/~konen\/Publikationen\/Bagh15-GMA-CI.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1995','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><\/div><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">169 Eintr\u00e4ge<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 von 4 <a href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"N\u00e4chste Seite\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?limit=4&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"Letzte Seite\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><\/div>\n<p>&nbsp;<\/p>\n<hr \/>\n<h2><a name=\"suchfeldWK\"><\/a>Suchfeld<\/h2>\n<div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><div class=\"tp_search_input\"><input name=\"tsr\" id=\"tp_search_input_field\" type=\"search\" placeholder=\"Suchbegriff eingeben\" value=\"\" tabindex=\"1\"\/><div class=\"teachpress_search_button\"><input name=\"tps_button\" class=\"tp_search_button\" type=\"submit\" tabindex=\"10\" value=\"Suche\"\/><\/div><\/div><\/form><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">216 Eintr\u00e4ge<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 von 22 <a href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=\" title=\"N\u00e4chste Seite\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?limit=22&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=\" title=\"Letzte Seite\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><div class=\"teachpress_publication_list\"><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_number\">1.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> P\u00fcschel, Leon<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2183','tp_links')\" style=\"cursor:pointer;\">Integration von Stable Baselines3 Agenten in das GBG-Framework: Eine Java-Python-Schnittstelle zur Nutzung von Gymnasium und SB3 im GBG\u0000<\/a> <span class=\"tp_pub_type tp_  mastersthesis\">Abschlussarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">TH K\u00f6ln \u2013 University of Applied Sciences, <\/span><span class=\"tp_pub_additional_year\">2025<\/span><span class=\"tp_pub_additional_note\">, (Bachelor thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2183\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2183','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2183\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2183','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2183\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Pueschel2025,<br \/>\r\ntitle = {Integration von Stable Baselines3 Agenten in das GBG-Framework: Eine Java-Python-Schnittstelle zur Nutzung von Gymnasium und SB3 im GBG\u0000},<br \/>\r\nauthor = {Leon P\u00fcschel},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Leon_Pueschel2025_final.pdf},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-06-01},<br \/>\r\nschool = {TH K\u00f6ln \u2013 University of Applied Sciences},<br \/>\r\nnote = {Bachelor thesis},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2183','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2183\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Leon_Pueschel2025_final.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Leon_Pueschel2025_final.p[...]\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Leon_Pueschel2025_final.p[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2183','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_number\">2.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> W\u00f6hler, Simon<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2182','tp_links')\" style=\"cursor:pointer;\">Verbesserung der Analyse von Rubiks-Cube-Algorithmen: Ein visueller Ansatz zum Vergleich von Reinforcement Learning und dem Kociemba Zwei-Phasen-Algorithmus<\/a> <span class=\"tp_pub_type tp_  mastersthesis\">Abschlussarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">TH K\u00f6ln \u2013 University of Applied Sciences, <\/span><span class=\"tp_pub_additional_year\">2025<\/span><span class=\"tp_pub_additional_note\">, (Bachelor thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2182\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2182','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2182\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2182','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2182\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Woehler2025,<br \/>\r\ntitle = {Verbesserung der Analyse von Rubiks-Cube-Algorithmen: Ein visueller Ansatz zum Vergleich von Reinforcement Learning und dem Kociemba Zwei-Phasen-Algorithmus},<br \/>\r\nauthor = {Simon W\u00f6hler},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Woehler2025_final.pdf},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-05-01},<br \/>\r\nschool = {TH K\u00f6ln \u2013 University of Applied Sciences},<br \/>\r\nnote = {Bachelor thesis},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2182','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2182\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Woehler2025_final.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Woehler2025_final.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_Woehler2025_final.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2182','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_number\">3.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Ommer, Vanessa<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2181','tp_links')\" style=\"cursor:pointer;\">Einflussnahme von bildgenerativer K\u00fcnstlicher Intelligenz auf den K\u00fcnstlerberuf und den Kunstbegriff<\/a> <span class=\"tp_pub_type tp_  mastersthesis\">Abschlussarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">TH K\u00f6ln \u2013 University of Applied Sciences, <\/span><span class=\"tp_pub_additional_year\">2025<\/span><span class=\"tp_pub_additional_note\">, (Bachelor thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2181\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2181','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2181\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2181','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2181\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Ommer2025,<br \/>\r\ntitle = {Einflussnahme von bildgenerativer K\u00fcnstlicher Intelligenz auf den K\u00fcnstlerberuf und den Kunstbegriff},<br \/>\r\nauthor = {Vanessa Ommer},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_VOmmer2025-final.pdf},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-02-01},<br \/>\r\nurldate = {2025-02-01},<br \/>\r\nschool = {TH K\u00f6ln \u2013 University of Applied Sciences},<br \/>\r\nnote = {Bachelor thesis},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2181','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2181\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_VOmmer2025-final.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_VOmmer2025-final.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_VOmmer2025-final.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2181','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">4.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lange, Moritz;  Engelhardt, Raphael C.;  Konen, Wolfgang;  Melnik, Andrew;  Wiskott, Laurenz<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2185','tp_links')\" style=\"cursor:pointer;\">Object-centric Denoising Diffusion Models for Physical Reasoning<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2507.04920, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2185\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2185','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2185\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2185','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2185\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Lange2025,<br \/>\r\ntitle = {Object-centric Denoising Diffusion Models for Physical Reasoning},<br \/>\r\nauthor = {Moritz Lange and Raphael C. Engelhardt and Wolfgang Konen and Andrew Melnik and Laurenz Wiskott},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2507.04920},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-01-01},<br \/>\r\njournal = {arXiv preprint arXiv:2507.04920},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2185','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2185\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2507.04920\" title=\"https:\/\/arxiv.org\/abs\/2507.04920\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2507.04920<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2185','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_number\">5.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Albers, Alexander<\/p><p class=\"tp_pub_title\">Der Einfluss einer intuitiveren graphischen UI und weiteren spielunterst\u00fctzenden Features auf den Spielerfolg und Spielspa\u00df im Spiel \u00d6kolopoly\u0000 <span class=\"tp_pub_type tp_  mastersthesis\">Abschlussarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">TH K\u00f6ln \u2013 University of Applied Sciences, <\/span><span class=\"tp_pub_additional_year\">2024<\/span><span class=\"tp_pub_additional_note\">, (Bachelor thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2176\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2176','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2176\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Albers2024,<br \/>\r\ntitle = {Der Einfluss einer intuitiveren graphischen UI und weiteren spielunterst\u00fctzenden Features auf den Spielerfolg und Spielspa\u00df im Spiel \u00d6kolopoly\u0000},<br \/>\r\nauthor = {Alexander Albers},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-12-01},<br \/>\r\nschool = {TH K\u00f6ln \u2013 University of Applied Sciences},<br \/>\r\nnote = {Bachelor thesis},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2176','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_number\">6.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Langrehr, Sarah<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2174','tp_links')\" style=\"cursor:pointer;\">ChatGPT als Mathematik-Lernbegleiter \u2013 Wie unterst\u00fctzen ChatGPT 3.5, 4.0 und 4.0 + WolframAlpha Sch\u00fcler und Studierende im Lernprozess? <\/a> <span class=\"tp_pub_type tp_  mastersthesis\">Abschlussarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">TH K\u00f6ln \u2013 University of Applied Sciences, <\/span><span class=\"tp_pub_additional_year\">2024<\/span><span class=\"tp_pub_additional_note\">, (Bachelor thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2174\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2174','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2174\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2174','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2174\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Langrehr2024,<br \/>\r\ntitle = {ChatGPT als Mathematik-Lernbegleiter \u2013 Wie unterst\u00fctzen ChatGPT 3.5, 4.0 und 4.0 + WolframAlpha Sch\u00fcler und Studierende im Lernprozess? },<br \/>\r\nauthor = {Sarah Langrehr},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_SLangrehr_ChatGPT-final.pdf},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-10-01},<br \/>\r\nschool = {TH K\u00f6ln \u2013 University of Applied Sciences},<br \/>\r\nnote = {Bachelor thesis},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2174','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2174\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_SLangrehr_ChatGPT-final.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_SLangrehr_ChatGPT-final.p[...]\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA_SLangrehr_ChatGPT-final.p[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2174','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">7.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Engelhardt, Raphael;  Lange, Moritz;  Wiskott, Laurenz;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2177','tp_links')\" style=\"cursor:pointer;\">Exploring the Reliability of SHAP Values in Reinforcement Learning<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span> Longo, Luca;  Lapuschkin, Sebastian;  Seifert, Christin (Hrsg.): <span class=\"tp_pub_additional_booktitle\">Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17\u201319, 2024, Proceedings, Part III, <\/span><span class=\"tp_pub_additional_pages\">S. 165\u2013184, <\/span><span class=\"tp_pub_additional_publisher\">Springer, <\/span><span class=\"tp_pub_additional_address\">Cham, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-3-031-63799-5<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2177\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2177','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2177\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2177','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2177\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Engelhardt2024,<br \/>\r\ntitle = {Exploring the Reliability of SHAP Values in Reinforcement Learning},<br \/>\r\nauthor = {Raphael Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},<br \/>\r\neditor = {Luca Longo and Sebastian Lapuschkin and Christin Seifert},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2024.pdf},<br \/>\r\ndoi = {10.1007\/978-3-031-63800-8},<br \/>\r\nisbn = {978-3-031-63799-5},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-07-09},<br \/>\r\nbooktitle = {Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17\u201319, 2024, Proceedings, Part III},<br \/>\r\nvolume = {2155},<br \/>\r\npages = {165\u2013184},<br \/>\r\npublisher = {Springer},<br \/>\r\naddress = {Cham},<br \/>\r\nseries = {Communications in Computer and Information Science},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2177','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2177\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2024.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2[...]\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/ciopwebpub\/Engelh24a.d\/Evaluation_of_SHAP_for_RL_XAI2[...]<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-63800-8\" title=\"Folge der DOI-Nummer:10.1007\/978-3-031-63800-8\" target=\"_blank\">doi:10.1007\/978-3-031-63800-8<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2177','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_number\">8.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Marcus, Tobias<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2175','tp_links')\" style=\"cursor:pointer;\">Untersuchung von stochastischen und nicht-stochastischen Reinforcement-Learning-Algorithmen f\u00fcr Blackjack und Kuhn Poker\u0000<\/a> <span class=\"tp_pub_type tp_  mastersthesis\">Abschlussarbeit<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">TH K\u00f6ln \u2013 University of Applied Sciences, <\/span><span class=\"tp_pub_additional_year\">2024<\/span><span class=\"tp_pub_additional_note\">, (Bachelor thesis)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2175\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2175','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2175\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2175','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2175\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Marcus2024,<br \/>\r\ntitle = {Untersuchung von stochastischen und nicht-stochastischen Reinforcement-Learning-Algorithmen f\u00fcr Blackjack und Kuhn Poker\u0000},<br \/>\r\nauthor = {Tobias Marcus},<br \/>\r\nurl = {https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA-TMarcus2024-final.pdf},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-07-01},<br \/>\r\nschool = {TH K\u00f6ln \u2013 University of Applied Sciences},<br \/>\r\nnote = {Bachelor thesis},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2175','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2175\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA-TMarcus2024-final.pdf\" title=\"https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA-TMarcus2024-final.pdf\" target=\"_blank\">https:\/\/www.gm.fh-koeln.de\/~konen\/research\/PaperPDF\/BA-TMarcus2024-final.pdf<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2175','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">9.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Oedingen, Marc;  Engelhardt, Raphael C.;  Denz, Robin;  Hammer, Maximilian;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2171','tp_links')\" style=\"cursor:pointer;\">ChatGPT Code Detection: Techniques for Uncovering the Source of Code<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">arXiv preprint arXiv:2405.15512, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2171\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2171','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2171\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2171','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2171\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Oedingen2024,<br \/>\r\ntitle = {ChatGPT Code Detection: Techniques for Uncovering the Source of Code},<br \/>\r\nauthor = {Marc Oedingen and Raphael C. Engelhardt and Robin Denz and Maximilian Hammer and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2405.15512},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-05-01},<br \/>\r\nurldate = {2024-05-01},<br \/>\r\njournal = {arXiv preprint arXiv:2405.15512},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2171','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2171\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2405.15512\" title=\"https:\/\/arxiv.org\/abs\/2405.15512\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2405.15512<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2171','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">10.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Oedingen, Marc;  Engelhardt, Raphael C.;  Denz, Robin;  Hammer, Maximilian;  Konen, Wolfgang<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2173','tp_links')\" style=\"cursor:pointer;\">ChatGPT Code Detection: Techniques for Uncovering the Source of Code<\/a> <span class=\"tp_pub_type tp_  article\">Artikel<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">AI, <\/span><span class=\"tp_pub_additional_volume\">Bd. 5, <\/span><span class=\"tp_pub_additional_number\">Nr. 3, <\/span><span class=\"tp_pub_additional_pages\">S. 1066\u20131094, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 2673-2688<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_2173\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2173','tp_abstract')\" title=\"Zeige Abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_2173\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2173','tp_links')\" title=\"Zeige Links und Ressourcen\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2173\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2173','tp_bibtex')\" title=\"Zeige BibTeX-Eintrag\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2173\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Oedingen2024_AI,<br \/>\r\ntitle = {ChatGPT Code Detection: Techniques for Uncovering the Source of Code},<br \/>\r\nauthor = {Marc Oedingen and Raphael C. Engelhardt and Robin Denz and Maximilian Hammer and Wolfgang Konen},<br \/>\r\nurl = {https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53},<br \/>\r\ndoi = {10.3390\/ai5030053},<br \/>\r\nissn = {2673-2688},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-05-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\njournal = {AI},<br \/>\r\nvolume = {5},<br \/>\r\nnumber = {3},<br \/>\r\npages = {1066\u20131094},<br \/>\r\nabstract = {In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI). As these technologies evolve rapidly, it is crucial to explore how they influence code generation, especially given the risk of misuse in areas such as higher education. The present paper explores this issue by using advanced classification techniques to differentiate between code written by humans and code generated by ChatGPT, a type of LLM. We employ a new approach that combines powerful embedding features (black-box) with supervised learning algorithms including Deep Neural Networks, Random Forests, and Extreme Gradient Boosting to achieve this differentiation with an impressive accuracy of 98%. For the successful combinations, we also examine their model calibration, showing that some of the models are extremely well calibrated. Additionally, we present white-box features and an interpretable Bayes classifier to elucidate critical differences between the code sources, enhancing the explainability and transparency of our approach. Both approaches work well, but provide at most 85\u201388% accuracy. Tests on a small sample of untrained humans suggest that humans do not solve the task much better than random guessing. This study is crucial in understanding and mitigating the potential risks associated with using AI in code generation, particularly in the context of higher education, software development, and competitive programming.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2173','tp_bibtex')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_2173\" style=\"display:none;\"><div class=\"tp_abstract_entry\">In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI). As these technologies evolve rapidly, it is crucial to explore how they influence code generation, especially given the risk of misuse in areas such as higher education. The present paper explores this issue by using advanced classification techniques to differentiate between code written by humans and code generated by ChatGPT, a type of LLM. We employ a new approach that combines powerful embedding features (black-box) with supervised learning algorithms including Deep Neural Networks, Random Forests, and Extreme Gradient Boosting to achieve this differentiation with an impressive accuracy of 98%. For the successful combinations, we also examine their model calibration, showing that some of the models are extremely well calibrated. Additionally, we present white-box features and an interpretable Bayes classifier to elucidate critical differences between the code sources, enhancing the explainability and transparency of our approach. Both approaches work well, but provide at most 85\u201388% accuracy. Tests on a small sample of untrained humans suggest that humans do not solve the task much better than random guessing. This study is crucial in understanding and mitigating the potential risks associated with using AI in code generation, particularly in the context of higher education, software development, and competitive programming.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2173','tp_abstract')\">Schlie\u00dfen<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2173\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53\" title=\"https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53\" target=\"_blank\">https:\/\/www.mdpi.com\/2673-2688\/5\/3\/53<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/ai5030053\" title=\"Folge der DOI-Nummer:10.3390\/ai5030053\" target=\"_blank\">doi:10.3390\/ai5030053<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2173','tp_links')\">Schlie\u00dfen<\/a><\/p><\/div><\/div><\/div><\/div><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">216 Eintr\u00e4ge<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 von 22 <a href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=\" title=\"N\u00e4chste Seite\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/blogs.gm.fh-koeln.de\/konen\/publikationen\/?limit=22&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=\" title=\"Letzte Seite\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Suchfeld &nbsp; Suchfeld<\/p>\n","protected":false},"author":38,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-441","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/pages\/441","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/comments?post=441"}],"version-history":[{"count":45,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/pages\/441\/revisions"}],"predecessor-version":[{"id":1365,"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/pages\/441\/revisions\/1365"}],"wp:attachment":[{"href":"https:\/\/blogs.gm.fh-koeln.de\/konen\/wp-json\/wp\/v2\/media?parent=441"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}