Markus Thill
Markus Thill
TH Köln – University of Applied Sciences
Verified email at th-koeln.de - Homepage
Title
Cited by
Cited by
Year
Reinforcement Learning with N-tuples on the Game Connect-4
M Thill, P Koch, W Konen
International Conference on Parallel Problem Solving from Nature, 184-194, 2012
262012
Online anomaly detection on the webscope S5 dataset: A comparative study
M Thill, W Konen, T Bäck
Evolving and Adaptive Intelligent Systems (EAIS), 2017, 1-8, 2017
242017
Online adaptable learning rates for the game Connect-4
S Bagheri, M Thill, P Koch, W Konen
IEEE Transactions on Computational Intelligence and AI in Games 8 (1), 33-42, 2014
212014
Temporal difference learning with eligibility traces for the game connect four
M Thill, S Bagheri, P Koch, W Konen
2014 IEEE Conference on Computational Intelligence and Games, 1-8, 2014
202014
Temporal difference learning methods with automatic step-size adaption for strategic board games: Connect-4 and Dots-and-Boxes
M Thill
Master thesis, Cologne University of Applied Sciences, June 2015. URL http …, 2015
72015
Anomaly detection in electrocardiogram readings with stacked LSTM networks
M Thill, S Däubener, W Konen, THW Bäck, P Barancikova, M Holena, ...
Proceedings of the 19th Conference Information Technologies-Applications and …, 2019
42019
Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation
M Thill, W Konen, T Bäck
International Work-Conference on Time Series (ITISE2017) 2, 11-22, 2017
32017
Time Series Encodings with Temporal Convolutional Networks
M Thill, W Konen, T Bäck
International Conference on Bioinspired Methods and Their Applications, 161-173, 2020
2020
Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions
M Thill, W Konen, T Bäck
Archives of Data Science, Series A (Online First) 5 (1), 04, 2018
2018
Discrete Wavelet Transforms and Multivariate Gaussian Distributions for Anomaly Detection in Time Series
M Thill, W Konen, T Bäck
Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24 …, 2017
2017
Temporal Coherence in TD-Learning for Strategic Board Games
S Bagheri, M Thill
2014
Reinforcement Learning mit N-Tupel-Systemen für Vier Gewinnt
M Thill
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Articles 1–12