2024
ChatGPT Code Detection: Techniques for Uncovering the Source of Code Miscellaneous
2024.
ChatGPT Code Detection: Techniques for Uncovering the Source of Code Journal Article
In: AI, Bd. 5, Nr. 3, S. 1066–1094, 2024, ISSN: 2673-2688.
2023
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison Proceedings Article
In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023, (Best Paper Award).
Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning Journal Article
In: arXiv preprint arXiv:2301.12167, 2023.
Iterative Oblique Decision Trees Deliver Explainable RL Models Journal Article
In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.
Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning Proceedings Article
In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023.
2022
The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning Technical Report
TH Köln 2022.
Sample-based Rule Extraction for Explainable Reinforcement Learning Proceedings Article
In: 8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), 2022.
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Journal Article
In: IEEE Transactions on Games, 2022.
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Journal Article
In: arXiv preprint arXiv:2204.13307, 2022, (Preprint of the IEEE ToG 2022 paper).
2021
Temporal convolutional autoencoder for unsupervised anomaly detection in time series Journal Article
In: Applied Soft Computing, Bd. 112, S. 107751, 2021.
Final adaptation reinforcement learning for N-player games Journal Article
In: arXiv preprint arXiv:2111.14375, 2021.
Surrogate-assisted optimization for augmentation of finite element techniques Journal Article
In: Journal of Computational Science, Bd. 54, S. 101427, 2021.
Shedding light into the black box of reinforcement learning - extended abstract Proceedings Article
In: Hammer, Barbara; Schilling, Malte; Wiskott, Laurenz (Hrsg.): Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI), 2021.
2020
Reinforcement Learning for N-Player Games: The Importance of Final Adaptation Proceedings Article
In: Vasile, Massimiliano; Filipic, Bogdan (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA) , Bruxelles. Video (15 min) + slides available at https://youtu.be/OcpX7ITeH9w, 2020.
The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining), Oct 2020.
Final Adaptation Reinforcement Learning for N-Player Games Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020.
Die CO2-Kosten des Video-Streaming Journal Article
In: Die Neue Hochschule (dnh), Bd. 3, S. 18-19, 2020.
Time Series Encodings with Temporal Convolutional Networks Proceedings Article
In: 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.
Predictive Maintenance & Anomalie-Erkennung: Effiziente Instandhaltung mit Verfahren der KI Miscellaneous
Vortrag DEBRL2020 (Digital Exchange Bergisches Rheinland 2020), als Video über https://digital-xchange.de/streaming verfügbar, 2020.
2019
General Board Game Playing for Education and Research in Generic AI Game Learning Proceedings Article
In: Perez, Diego; Mostaghim, Sanaz; Lucas, Simon (Hrsg.): IEEE Conference on Games, London, 2019.
SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning Technical Report
arXiv preprint arXiv:1904.08397 2019.
Solving Optimization Problems with High Conditioning by Means of Online Whitening Proceedings Article
In: Lopez-Ibanez, Manuel (Hrsg.): Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague, S. 243-244, ACM, 2019.
How to Solve the Dilemma of Margin-Based Equality Constraint Handling Methods Journal Article
In: at-Automatisierungstechnik, Bd. submitted, 2019.
Deep Learning mit Keras und Tensorflow Miscellaneous
Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019), 2019.
The GBG Class Interface Tutorial V2.0: General Board Game Playing and Learning Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2019.
Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks Proceedings Article
In: Barancíková, Petra; Holena, Martin; others, (Hrsg.): Proc. 19th Conference Information Technologies - Applications and Theory (ITAT 2019), 2019, (Best Paper Award).
2018
How to Solve the Dilemma of Margin-Based Equality Handling Methods Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke; Mikut, Ralf (Hrsg.): Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018, S. 257-270, KIT Scientific Publishing, Karlsruhe, 2018, ISBN: 978-3-7315-0845-8, (**Young Author Award**).
Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions Technical Report
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).
The TDMR 2.0 Package: Tuned Data Mining in R Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 02/2018, 2018, (Last update: April 2018 (original version: 2012)).
The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 03/2018, 2018, (Last update: April 2018 (original version: 2012)).
2017
Comparing Kriging and Radial Basis Function Surrogates Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 243-259, Universitätsverlag Karlsruhe, 2017.
Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 67-71, Universitätsverlag Karlsruhe, 2017.
Constraint Handling in Efficient Global Optimization Proceedings Article
In: Bosman, Peter A. N. (Hrsg.): Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin, S. 1, ACM, 2017.
Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation Proceedings Article
In: Valenzuela, Olga; Rojas, Ignacio; others, (Hrsg.): International Work-Conference on Time Series (ITISE2017), 2017.
The GBG Class Interface Tutorial: General Board Game Playing and Learning Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2017, (e-print published at http://www.gm.fh-koeln.de/ciopwebpub/Kone17a.d/TR-GBG.pdf).
Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets Journal Article
In: Applied Soft Computing, Bd. 61, S. 377-393, 2017, ISSN: 1568-4946.
Online anomaly detection on the Webscope S5 dataset: A comparative study Proceedings Article
In: IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017), S. 1, Springer 2017.
2016
Online Selection of Surrogate Models for Constrained Black-Box Optimization Proceedings Article
In: Jin, Yaochu (Hrsg.): SSCI'2016, Athens, S. 1, IEEE, 2016, (**Best Student Paper Award**).
Equality Constraint Handling for Surrogate-Assisted Constrained Optimization Proceedings Article
In: Tan, Kay Chen (Hrsg.): WCCI'2016, Vancouver, S. 1924–1931, IEEE, 2016.
Illumination-invariant image mosaic calculation based on logarithmic search Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2016, (e-print published at http://arxiv.org/abs/1603.06433).
Online Adaptable Learning Rates for the Game Connect-4 Journal Article
In: IEEE Transactions on Computational Intelligence and AI in Games, Bd. 8, Nr. 1, S. 33-42, 2016, (accepted 11/2014).
2015
Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 06/15; arXiv: 1512.09251, 2015, ISSN: 2191-365X, (e-print published at http://arxiv.org/abs/1512.09251).
SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 25. Workshop Computational Intelligence, S. 87-98, Universitätsverlag Karlsruhe, 2015, (**Young Author Award**).
Reinforcement Learning for Board Games: The Temporal Difference Algorithm Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Sciences, 2015.
A New Repair Method For Constrained Optimization Proceedings Article
In: Jiménez-Laredo, Juan Luis (Hrsg.): Proceedings of the 17th Genetic and Evolutionary Computation Conference (GECCO'15), 2015.
SVM ensembles are better when different kernel types are combined Book Section
In: Lausen, Berthold; Krolak-Schwerdt, Sabine (Hrsg.): Data Science, Learning by Latent Structures, and Knowledge Discovery, S. 191–201, Springer, 2015.
Efficient multi-criteria optimization on noisy machine learning problems Journal Article
In: Applied Soft Computing, Bd. 29, S. 357-370, 2015.
Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015, (Updated version 2015).
The rCMA Tutorial: Examples for using CMA-ES in R Technical Report
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015.
Suchfeld
ChatGPT als Mathematik-Lernbegleiter – Wie unterstützen ChatGPT 3.5, 4.0 und 4.0 + WolframAlpha Schüler und Studierende im Lernprozess? Masters Thesis
TH Köln – University of Applied Sciences, 2024, (Bachelor thesis).
Untersuchung von stochastischen und nicht-stochastischen Reinforcement-Learning-Algorithmen für Blackjack und Kuhn Poker Masters Thesis
TH Köln – University of Applied Sciences, 2024, (Bachelor thesis).
Untersuchung über die Eignung von KI-Modellen als Tutor in der Mathematikausbildung Masters Thesis
TH Köln – University of Applied Sciences, 2024, (Bachelor thesis).
ChatGPT Code Detection: Techniques for Uncovering the Source of Code Miscellaneous
2024.
ChatGPT Code Detection: Techniques for Uncovering the Source of Code Journal Article
In: AI, Bd. 5, Nr. 3, S. 1066–1094, 2024, ISSN: 2673-2688.
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison Proceedings Article
In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023, (Best Paper Award).
Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning Journal Article
In: arXiv preprint arXiv:2301.12167, 2023.
Iterative Oblique Decision Trees Deliver Explainable RL Models Journal Article
In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.
Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning Proceedings Article
In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023.
TH Köln – University of Applied Sciences, 2023, (Bachelor thesis).