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2021

Thill, Markus; Konen, Wolfgang; Wang, Hao; Bäck, Thomas

Temporal convolutional autoencoder for unsupervised anomaly detection in time series Journal Article

In: Applied Soft Computing, vol. 112, pp. 107751, 2021.

Links | BibTeX | Tags: 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, Massimiliano; Filipic, Bogdan (Ed.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), Bruxelles. Video (15 min) available at https://youtu.be/PjI4fpcTGFY, 2020.

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

Thill, Markus; Konen, Wolfgang

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.

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

 

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1.

Thill, Markus

Machine Learning and Deep Learning Approaches for Multivariate Time Series Prediction and Anomaly Detection PhD Thesis

Leiden University and TH Köln, 2022, (PhD thesis).

BibTeX

2.

Thill, Markus; Konen, Wolfgang; Wang, Hao; Bäck, Thomas

Temporal convolutional autoencoder for unsupervised anomaly detection in time series Journal Article

In: Applied Soft Computing, vol. 112, pp. 107751, 2021.

Links | BibTeX

3.

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Time Series Encodings with Temporal Convolutional Networks Proceedings Article

In: Vasile, Massimiliano; Filipic, Bogdan (Ed.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), Bruxelles. Video (15 min) available at https://youtu.be/PjI4fpcTGFY, 2020.

Links | BibTeX

4.

Thill, Markus; Konen, Wolfgang

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.

Links | BibTeX