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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.

BibTeX | Schlagwörter: decision trees, deep learning, explainable AI, Reinforcement learning, RL3

Scheiermann, Johannes; Konen, Wolfgang

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Artikel

In: IEEE Transactions on Games, 2022.

Links | BibTeX | Schlagwörter: AI, deep learning, Game Learning, GBG, learning, optimization, Reinforcement learning

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.

Links | BibTeX | Schlagwörter: decision trees, deep learning, explainable AI, Reinforcement learning, RL3

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.

Links | BibTeX | Schlagwörter: anomaly detection, deep learning, TCN, time series

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.

Links | BibTeX | Schlagwörter: anomaly detection, deep learning, TCN, time series

2019

Buhl, Henning; Konen, Wolfgang; Thill, Markus

Deep Learning mit Keras und Tensorflow Sonstige

Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019), 2019.

Links | BibTeX | Schlagwörter: deep learning

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).

Links | BibTeX | Schlagwörter: anomaly detection, deep learning, LSTM, time series

 


Search Field

Zeige alle

1.

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.

BibTeX

2.

Scheiermann, Johannes; Konen, Wolfgang

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Artikel

In: IEEE Transactions on Games, 2022.

Links | BibTeX

3.

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.

Links | BibTeX

4.

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.

Links | BibTeX

5.

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.

Links | BibTeX

6.

Buhl, Henning; Konen, Wolfgang; Thill, Markus

Deep Learning mit Keras und Tensorflow Sonstige

Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019), 2019.

Links | BibTeX

7.

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).

Links | BibTeX