Search Field
2024
Engelhardt, Raphael C; Meinen, Marcel J; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task Artikel
In: arXiv preprint arXiv:2412.04974, 2024.
@article{Engelhardt2024,
title = {Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task},
author = {Raphael C Engelhardt and Marcel J Meinen and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
url = {https://arxiv.org/pdf/2412.04974},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {arXiv preprint arXiv:2412.04974},
keywords = {AI, decision trees, deep learning, explainable AI, Reinforcement learning, RL3},
pubstate = {published},
tppubtype = {article}
}
2023
Engelhardt, Raphael C; Oedingen, Marc; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Iterative Oblique Decision Trees Deliver Explainable RL Models Artikel
In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.
@article{Engelhardt2023,
title = {Iterative Oblique Decision Trees Deliver Explainable RL Models},
author = {Raphael C Engelhardt and Marc Oedingen and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
url = {https://www.mdpi.com/1999-4893/16/6/282},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Algorithms},
volume = {16},
number = {6},
pages = {282},
publisher = {MDPI},
keywords = {AI, decision trees, deep learning, explainable AI, Reinforcement learning, RL3},
pubstate = {published},
tppubtype = {article}
}
2022
Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Sample-based Rule Extraction for Explainable Reinforcement Learning Proceedings Article
In: 8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), 2022.
@inproceedings{Engel2022,
title = {Sample-based Rule Extraction for Explainable Reinforcement Learning},
author = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
year = {2022},
date = {2022-01-01},
booktitle = {8th International Conference on machine Learning, Optimization, and Data Science (LOD2022)},
keywords = {decision trees, deep learning, explainable AI, Reinforcement learning, RL3},
pubstate = {published},
tppubtype = {inproceedings}
}
Scheiermann, Johannes; Konen, Wolfgang
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Artikel
In: IEEE Transactions on Games, 2022.
@article{Scheier2022,
title = {AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time},
author = {Johannes Scheiermann and Wolfgang Konen},
url = {https://ieeexplore.ieee.org/document/9893320},
doi = {10.1109/TG.2022.3206733},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {IEEE Transactions on Games},
keywords = {AI, deep learning, Game Learning, GBG, learning, optimization, Reinforcement learning},
pubstate = {published},
tppubtype = {article}
}
2021
Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
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.
@inproceedings{Engel2021,
title = {Shedding light into the black box of reinforcement learning - extended abstract},
author = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
editor = {Barbara Hammer and Malte Schilling and Laurenz Wiskott},
url = {https://dataninja.nrw/wp-content/uploads/2021/09/1_Engelhardt_SheddingLight_Abstract.pdf},
year = {2021},
date = {2021-01-01},
booktitle = {Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI)},
keywords = {decision trees, deep learning, explainable AI, Reinforcement learning, RL3},
pubstate = {published},
tppubtype = {inproceedings}
}
Thill, Markus; Konen, Wolfgang; Wang, Hao; Bäck, Thomas
Temporal convolutional autoencoder for unsupervised anomaly detection in time series Artikel
In: Applied Soft Computing, Bd. 112, S. 107751, 2021.
@article{Thill2021,
title = {Temporal convolutional autoencoder for unsupervised anomaly detection in time series},
author = {Markus Thill and Wolfgang Konen and Hao Wang and Thomas Bäck},
url = {https://doi.org/10.1016/j.asoc.2021.107751},
year = {2021},
date = {2021-01-01},
journal = {Applied Soft Computing},
volume = {112},
pages = {107751},
publisher = {Elsevier},
keywords = {anomaly detection, deep learning, TCN, time series},
pubstate = {published},
tppubtype = {article}
}
2020
Thill, Markus; Konen, Wolfgang; Bäck, Thomas
Time Series Encodings with Temporal Convolutional Networks Proceedings Article
In: Vasile, Bogdan Filipic Massimiliano (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), 2020.
@inproceedings{Thill20a,
title = {Time Series Encodings with Temporal Convolutional Networks},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
editor = {Bogdan Filipic Massimiliano Vasile},
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)},
keywords = {anomaly detection, deep learning, TCN, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
2019
Buhl, Henning; Konen, Wolfgang; Thill, Markus
Deep Learning mit Keras und Tensorflow Sonstige
Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019), 2019.
@misc{Buhl19,
title = {Deep Learning mit Keras und Tensorflow},
author = {Henning Buhl and Wolfgang Konen and Markus Thill},
url = {https://github.com/HenningBuhl/DLKTF},
year = {2019},
date = {2019-01-01},
howpublished = {Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019)},
keywords = {deep learning},
pubstate = {published},
tppubtype = {misc}
}
Thill, Markus; Däubner, Sina; Konen, Wolfgang; Bäck, Thomas
Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks Proceedings Article
In: á, Petra Barancíkov; Holena, Martin; others, (Hrsg.): Proc. 19th Conference Information Technologies - Applications and Theory (ITAT 2019), 2019, (Best Paper Award).
@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 Barancíkov á 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, LSTM, time series},
pubstate = {published},
tppubtype = {inproceedings}
}
Search Field
1.
Engelhardt, Raphael C; Meinen, Marcel J; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task Artikel
In: arXiv preprint arXiv:2412.04974, 2024.
@article{Engelhardt2024,
title = {Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task},
author = {Raphael C Engelhardt and Marcel J Meinen and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
url = {https://arxiv.org/pdf/2412.04974},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {arXiv preprint arXiv:2412.04974},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2.
Engelhardt, Raphael C; Oedingen, Marc; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Iterative Oblique Decision Trees Deliver Explainable RL Models Artikel
In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.
@article{Engelhardt2023,
title = {Iterative Oblique Decision Trees Deliver Explainable RL Models},
author = {Raphael C Engelhardt and Marc Oedingen and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
url = {https://www.mdpi.com/1999-4893/16/6/282},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Algorithms},
volume = {16},
number = {6},
pages = {282},
publisher = {MDPI},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
3.
Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
Sample-based Rule Extraction for Explainable Reinforcement Learning Proceedings Article
In: 8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), 2022.
@inproceedings{Engel2022,
title = {Sample-based Rule Extraction for Explainable Reinforcement Learning},
author = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
year = {2022},
date = {2022-01-01},
booktitle = {8th International Conference on machine Learning, Optimization, and Data Science (LOD2022)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
4.
Scheiermann, Johannes; Konen, Wolfgang
AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Artikel
In: IEEE Transactions on Games, 2022.
@article{Scheier2022,
title = {AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time},
author = {Johannes Scheiermann and Wolfgang Konen},
url = {https://ieeexplore.ieee.org/document/9893320},
doi = {10.1109/TG.2022.3206733},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {IEEE Transactions on Games},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
5.
Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang
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.
@inproceedings{Engel2021,
title = {Shedding light into the black box of reinforcement learning - extended abstract},
author = {Raphael C. Engelhardt and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
editor = {Barbara Hammer and Malte Schilling and Laurenz Wiskott},
url = {https://dataninja.nrw/wp-content/uploads/2021/09/1_Engelhardt_SheddingLight_Abstract.pdf},
year = {2021},
date = {2021-01-01},
booktitle = {Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
6.
Thill, Markus; Konen, Wolfgang; Wang, Hao; Bäck, Thomas
Temporal convolutional autoencoder for unsupervised anomaly detection in time series Artikel
In: Applied Soft Computing, Bd. 112, S. 107751, 2021.
@article{Thill2021,
title = {Temporal convolutional autoencoder for unsupervised anomaly detection in time series},
author = {Markus Thill and Wolfgang Konen and Hao Wang and Thomas Bäck},
url = {https://doi.org/10.1016/j.asoc.2021.107751},
year = {2021},
date = {2021-01-01},
journal = {Applied Soft Computing},
volume = {112},
pages = {107751},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
7.
Thill, Markus; Konen, Wolfgang; Bäck, Thomas
Time Series Encodings with Temporal Convolutional Networks Proceedings Article
In: Vasile, Bogdan Filipic Massimiliano (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), 2020.
@inproceedings{Thill20a,
title = {Time Series Encodings with Temporal Convolutional Networks},
author = {Markus Thill and Wolfgang Konen and Thomas Bäck},
editor = {Bogdan Filipic Massimiliano Vasile},
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)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
8.
Buhl, Henning; Konen, Wolfgang; Thill, Markus
Deep Learning mit Keras und Tensorflow Sonstige
Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019), 2019.
@misc{Buhl19,
title = {Deep Learning mit Keras und Tensorflow},
author = {Henning Buhl and Wolfgang Konen and Markus Thill},
url = {https://github.com/HenningBuhl/DLKTF},
year = {2019},
date = {2019-01-01},
howpublished = {Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019)},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
9.
Thill, Markus; Däubner, Sina; Konen, Wolfgang; Bäck, Thomas
Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks Proceedings Article
In: á, Petra Barancíkov; Holena, Martin; others, (Hrsg.): Proc. 19th Conference Information Technologies - Applications and Theory (ITAT 2019), 2019, (Best Paper Award).
@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 Barancíkov á 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 = {},
pubstate = {published},
tppubtype = {inproceedings}
}
