Markus Thill
Promovendus / gast
- Naam
- Dr. M. Thill
- Telefoon
- +31 71 527 4799
- m.thill@liacs.leidenuniv.nl
Promovendus / gast
- Wiskunde en Natuurwetenschappen
- Leiden Inst of Advanced Computer Science
- Thill M. (17 maart 2022), Machine learning and deep learning approaches for multivariate time series prediction and anomaly detection (Dissertatie. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University). Promotor(en) en Copromotor(en): Bäck T.H.W. & Konen W., Wang H.
- Thill M., Konen W., Wang H. & Bäck T.H.W. (2021), Temporal convolutional autoencoder for unsupervised anomaly detection in time series, Applied Soft Computing 112: 107751.
- Thill M., Konen W. & Bäck T.H.W. (2020), Time series encodings with temporal convolutional networks. In: Filipic B., Minisci E. & Vasile M. (red.) Bioinspired optimization methods and their applications. BIOMA 2020. nr. 12438 Cham: Springer. 161-173.
- Thill M., Däubener S., Konen W. & Bäck T.H.W. (2019), Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks. Barancikova P., Holena M., Horvat T., Pleva M. & Rosa R. (red.), Proceedings of the 19th Conference Information Technologies - Applications and Theory (ITAT 2019). 19th Conference Information Technologies - Applications and Theory (ITAT 2019) 20 september 2019 - 24 september 2019 nr. 2473. Aachen, Germany: CEUR-WS. 17-25.
- Thill M., Konen W. & Bäck T.H.W. (2017), Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation. Hoffmann F., Hüllermeier E. & Mikut R. (red.), Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. 27th Workshop Computational Intelligence 23 november 2017 - 24 november 2017: Karlsruher Institut für Technologie. 67-71.
- Thill M., Konen W. & Bäck T.H.W. (2017), Online Anomaly Detection on the Webscope S5 Data Set: A Comparative Study. Škrjanc I. & Blažič S. (red.), 2017 Evolving and Adaptive Intelligent Systems (EAIS). IEEE Conference on Evolving and Intelligent Adaptive Systems (EAIS 2017) 31 mei 2017 - 2 juni 2017: IEEE Xplore. 1-8.
- Thill M., Konen W. & Bäck T.H.W. (2017), Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation, Proceedings of the International Work-Conference on Tme Series (ITISE 2017). International Work-Conference on Time-Series Analysis, ITISE 2017 18 september 2017 - 20 september 2017 nr. 2: Godel.