2020
|
Thill, Markus; Konen, Wolfgang; Bäck, Thomas Time Series Encodings with Temporal Convolutional Networks Konferenzbeitrag Vasile, Massimiliano; Filipic, Bogdan (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), Bruxelles. Video (15 min) available at https://youtu.be/PjI4fpcTGFY, 2020. Links | BibTeX | Schlagwörter: anomaly detection, deep learning, TCN, time series @inproceedings{Thill20a,
title = {Time Series Encodings with Temporal Convolutional Networks},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
editor = {Massimiliano Vasile and Bogdan Filipic },
url = {http://www.gm.fh-koeln.de/ciopwebpub/Thill20a.d/bioma2020-tcn.pdf},
year = {2020},
date = {2020-01-01},
booktitle = {9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA)},
address = {Bruxelles. Video (15 min) available at https://youtu.be/PjI4fpcTGFY},
keywords = {anomaly detection, deep learning, TCN, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Thill, Markus; Konen, Wolfgang Predictive Maintenance & Anomalie-Erkennung: Effiziente Instandhaltung mit Verfahren der KI Sonstige Vortrag DEBRL2020 (Digital Exchange Bergisches Rheinland 2020), als Video über https://digital-xchange.de/streaming verfügbar, 2020. Links | BibTeX | Schlagwörter: anomaly detection, deep learning, TCN, time series @misc{Thill20b,
title = {Predictive Maintenance & Anomalie-Erkennung: Effiziente Instandhaltung mit Verfahren der KI},
author = {Markus Thill and Wolfgang Konen},
url = {https://www.youtube.com/watch?v=Nbo5tli3ktk&list=PLg18N4cpmw8xVsn1xEJtxY_1FIhGK3s1Y&index=11},
year = {2020},
date = {2020-00-01},
howpublished = {Vortrag DEBRL2020 (Digital Exchange Bergisches Rheinland 2020), als Video über https://digital-xchange.de/streaming verfügbar},
keywords = {anomaly detection, deep learning, TCN, time series},
pubstate = {published},
tppubtype = {misc}
}
|
2019
|
Thill, Markus; Däubner, Sina; Konen, Wolfgang; Bäck, Thomas Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks Konferenzbeitrag Barancíková, Petra; Holena, Martin; others, (Hrsg.): Proc. 19th Conference Information Technologies - Applications
and Theory (ITAT 2019), 2019, (Best Paper Award). Links | BibTeX | Schlagwörter: anomaly detection, deep learning, learning, LSTM, time series @inproceedings{Thill2019a,
title = {Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks},
author = {Markus Thill and Sina Däubner and Wolfgang Konen and Thomas Bäck},
editor = {Petra Barancíková and Martin Holena and others},
url = {http://ceur-ws.org/Vol-2473},
year = {2019},
date = {2019-01-01},
booktitle = {Proc. 19th Conference Information Technologies - Applications
and Theory (ITAT 2019)},
volume = {2473},
series = {CEUR Workshop Proceedings},
note = {Best Paper Award},
keywords = {anomaly detection, deep learning, learning, LSTM, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2018
|
Thill, Markus; Konen, Wolfgang; Bäck, Thomas Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) TH Köln - University of Applied Science, 2018, (submitted to Archives of Data Sciences, Series A (ECDA'2018), preprint available at http://www.gm.fh-koeln.de/ciopwebpub/Thill18a.d/AoDS2018.pdf). Links | BibTeX | Schlagwörter: anomaly detection, DWT, maximum likelihood estimation, time series, wavelet transform @techreport{Thill2018,
title = {Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Thill18.d/AoDS2018.pdf},
year = {2018},
date = {2018-11-01},
address = {TH Köln - University of Applied Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
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},
keywords = {anomaly detection, DWT, maximum likelihood estimation, time series, wavelet transform},
pubstate = {published},
tppubtype = {techreport}
}
|
2017
|
Thill, Markus; Konen, Wolfgang; Bäck, Thomas Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation Konferenzbeitrag Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 67-71, Universitätsverlag Karlsruhe, 2017. Links | BibTeX | Schlagwörter: anomaly detection, DWT, time series @inproceedings{Thill2017c,
title = {Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
editor = {Frank Hoffmann and Eyke Hüllermeier},
url = {https://publikationen.bibliothek.kit.edu/1000074341},
year = {2017},
date = {2017-11-01},
booktitle = {Proceedings 27. Workshop Computational Intelligence},
pages = {67-71},
publisher = {Universitätsverlag Karlsruhe},
keywords = {anomaly detection, DWT, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Thill, Markus; Konen, Wolfgang; Bäck, Thomas Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation Konferenzbeitrag Valenzuela, Olga; Rojas, Ignacio; others, (Hrsg.): International Work-Conference on Time Series (ITISE2017), 2017. Links | BibTeX | Schlagwörter: anomaly detection, DWT, time series @inproceedings{Thill17b-ITISE,
title = {Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
editor = {Olga Valenzuela and Ignacio Rojas and others},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Thill17b.d/Thill17b-ITISE.pdf},
year = {2017},
date = {2017-07-01},
booktitle = {International Work-Conference on Time Series (ITISE2017)},
keywords = {anomaly detection, DWT, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Thill, Markus; Konen, Wolfgang; Bäck, Thomas Online anomaly detection on the Webscope S5 dataset: A comparative study Konferenzbeitrag IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017), S. 1, Springer 2017. Links | BibTeX | Schlagwörter: anomaly detection, time series @inproceedings{Thill17a-SORAD,
title = {Online anomaly detection on the Webscope S5 dataset: A comparative study},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Thill17a.d/Thill17a-SORAD.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017)},
pages = {1},
organization = {Springer},
keywords = {anomaly detection, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2011
|
Konen, Wolfgang; Koch, Patrick The slowness principle: SFA can detect different slow components in nonstationary time series Artikel International Journal of Innovative Computing and Applications (IJICA), 3 (1), S. 3–10, 2011. Links | BibTeX | Schlagwörter: SFA, SOMA, time series @article{KonK10b,
title = {The slowness principle: SFA can detect different slow components in nonstationary time series},
author = { Wolfgang Konen and Patrick Koch},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/IJICA2010-howslow.pdf},
doi = {10.1504/IJICA.2011.037946},
year = {2011},
date = {2011-01-01},
journal = {International Journal of Innovative Computing and Applications (IJICA)},
volume = {3},
number = {1},
pages = {3--10},
keywords = {SFA, SOMA, time series},
pubstate = {published},
tppubtype = {article}
}
|
2010
|
Flasch, Oliver; Bartz-Beielstein, Thomas; Davtyan, Artur; Koch, Patrick; Konen, Wolfgang; Oyetoyan, Tosin Daniel; Tamutan, Michael Comparing CI Methods for Prediction Models in Environmental Engineering Forschungsbericht Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Faculty of Computer Science and Engineering Science, Cologne University of Applied Sciences, Germany, (02/10), 2010, ISSN: 2191-365X. Links | BibTeX | Schlagwörter: CI, GP, prediction, time series @techreport{Flas10a,
title = {Comparing CI Methods for Prediction Models in Environmental Engineering},
author = { Oliver Flasch and Thomas Bartz-Beielstein and Artur Davtyan and Patrick Koch and Wolfgang Konen and Tosin Daniel Oyetoyan and Michael Tamutan},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Flas10a.d/ciop0210.pdf},
issn = {2191-365X},
year = {2010},
date = {2010-02-01},
number = {02/10},
address = {Faculty of Computer Science and Engineering Science, Cologne University of Applied Sciences, Germany},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {CI, GP, prediction, time series},
pubstate = {published},
tppubtype = {techreport}
}
|
Koch, Patrick; Konen, Wolfgang; Hein, Kristine Gesture Recognition on Few Training Data using Slow Feature Analysis and Parametric Bootstrap Konferenzbeitrag 2010 International Joint Conference on Neural Networks, 2010. Links | BibTeX | Schlagwörter: gesture, SFA, SOMA, time series @inproceedings{Koch10a,
title = {Gesture Recognition on Few Training Data using Slow Feature Analysis and Parametric Bootstrap},
author = { Patrick Koch and Wolfgang Konen and Kristine Hein},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/WCCI-10_wii-gesture.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {2010 International Joint Conference on Neural Networks},
keywords = {gesture, SFA, SOMA, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Konen, Wolfgang; Koch, Patrick How slow is slow? SFA detects signals that are slower than the driving force Konferenzbeitrag Filipic, Bogdan ; Silc, Juri (Hrsg.): Proc. 4th Int. Conf. on Bioinspired Optimization Methods and their Applications, BIOMA, Ljubljana, Slovenia, 2010. Links | BibTeX | Schlagwörter: SFA, SOMA, time series @inproceedings{KonK10a,
title = {How slow is slow? SFA detects signals that are slower than the driving force},
author = { Wolfgang Konen and Patrick Koch},
editor = {Filipic, Bogdan and Silc, Juri},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/BIOMA10-howslow.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {Proc. 4th Int. Conf. on Bioinspired Optimization Methods and their Applications, BIOMA, Ljubljana, Slovenia},
keywords = {SFA, SOMA, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2009
|
Konen, Wolfgang How slow is slow? SFA detects signals that are slower than the driving force Forschungsbericht Cologne University of Applied Sciences (05/09), 2009, (e-print published at http://arxiv.org/abs/0911.4397). Links | BibTeX | Schlagwörter: SFA, SOMA, time series @techreport{Kon09a,
title = {How slow is slow? SFA detects signals that are slower than the driving force},
author = { Wolfgang Konen},
url = {http://arxiv.org/abs/0911.4397},
year = {2009},
date = {2009-11-01},
number = {05/09},
institution = {Cologne University of Applied Sciences},
note = {e-print published at http://arxiv.org/abs/0911.4397},
keywords = {SFA, SOMA, time series},
pubstate = {published},
tppubtype = {techreport}
}
|
Konen, Wolfgang On the numeric stability of the SFA implementation sfa-tk Forschungsbericht Cologne University of Applied Sciences (05/10), 2009, (e-print published at http://arxiv.org/abs/0912.1064). Links | BibTeX | Schlagwörter: SFA, SOMA, time series @techreport{Kon09b,
title = {On the numeric stability of the SFA implementation sfa-tk},
author = { Wolfgang Konen},
url = {http://arxiv.org/abs/0912.1064},
year = {2009},
date = {2009-11-01},
number = {05/10},
institution = {Cologne University of Applied Sciences},
note = {e-print published at http://arxiv.org/abs/0912.1064},
keywords = {SFA, SOMA, time series},
pubstate = {published},
tppubtype = {techreport}
}
|
2007
|
Engels, Christoph; Konen, Wolfgang Adaptive Hierarchical Forecasting Konferenzbeitrag IEEE Fourth International Workshop on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS'2007), 2007. Links | BibTeX | Schlagwörter: Dato Minint, time series @inproceedings{Enge07,
title = {Adaptive Hierarchical Forecasting},
author = { Christoph Engels and Wolfgang Konen},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/engels-konen-AHF-idaacs2007.pdf},
year = {2007},
date = {2007-01-01},
booktitle = {IEEE Fourth International Workshop on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS'2007)},
keywords = {Dato Minint, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2001
|
Konen, Wolfgang ; Engels, Christoph Revenue Management beim weltgrößten Reiseveranstalter: Der Kollege "Prognose" Artikel IS Report, Zeitschrift für betriebswirtschaftliche Informationssysteme, 10 , 2001. Links | BibTeX | Schlagwörter: Data Mining, optimization, time series @article{KonEng01,
title = {Revenue Management beim weltgrößten Reiseveranstalter: Der Kollege "Prognose" },
author = {Konen, Wolfgang and Engels, Christoph},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/TUI_is-report10-01-prog.deutsch.pdf},
year = {2001},
date = {2001-00-01},
journal = {IS Report, Zeitschrift für betriebswirtschaftliche Informationssysteme},
volume = {10},
keywords = {Data Mining, optimization, time series},
pubstate = {published},
tppubtype = {article}
}
|
