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2020

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Time Series Encodings with Temporal Convolutional Networks Inproceedings

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

Thill, Markus; Däubner, Sina; Konen, Wolfgang; Bäck, Thomas

Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks Inproceedings

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

2018

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) TH Köln - University of Applied Science, 2018, (submitted to Archives of Data Sciences, Series A (ECDA'2018), preprint available at http://www.gm.fh-koeln.de/ciopwebpub/Thill18a.d/AoDS2018.pdf).

Links | BibTeX | Schlagwörter: anomaly detection, DWT, maximum likelihood estimation, time series, wavelet transform

2017

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation Inproceedings

Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 67-71, Universitätsverlag Karlsruhe, 2017.

Links | BibTeX | Schlagwörter: anomaly detection, DWT, time series

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation Inproceedings

Valenzuela, Olga; Rojas, Ignacio; others, (Hrsg.): International Work-Conference on Time Series (ITISE2017), 2017.

Links | BibTeX | Schlagwörter: anomaly detection, DWT, time series

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Online anomaly detection on the Webscope S5 dataset: A comparative study Inproceedings

IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017), S. 1, Springer 2017.

Links | BibTeX | Schlagwörter: anomaly detection, time series

 


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1. Thill, Markus; Konen, Wolfgang; Bäck, Thomas: Time Series Encodings with Temporal Convolutional Networks. In: Vasile, Bogdan Filipic Massimiliano (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), 2020. (Typ: Inproceedings | Links | BibTeX)
2. Thill, Markus; Däubner, Sina; Konen, Wolfgang; Bäck, Thomas: Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks. In: á, Petra Barancíkov; Holena, Martin; others, (Hrsg.): Proc. 19th Conference Information Technologies - Applications and Theory (ITAT 2019), 2019, (Best Paper Award). (Typ: Inproceedings | Links | BibTeX)
3. Thill, Markus; Konen, Wolfgang; Bäck, Thomas: Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions. Research Center CIOP (Computational Intelligence, Optimization and Data Mining) TH Köln - University of Applied Science, 2018, (submitted to Archives of Data Sciences, Series A (ECDA'2018), preprint available at http://www.gm.fh-koeln.de/ciopwebpub/Thill18a.d/AoDS2018.pdf). (Typ: Forschungsbericht | Links | BibTeX)
4. Thill, Markus; Konen, Wolfgang; Bäck, Thomas: Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation. In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 67-71, Universitätsverlag Karlsruhe, 2017. (Typ: Inproceedings | Links | BibTeX)
5. Thill, Markus; Konen, Wolfgang; Bäck, Thomas: Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation. In: Valenzuela, Olga; Rojas, Ignacio; others, (Hrsg.): International Work-Conference on Time Series (ITISE2017), 2017. (Typ: Inproceedings | Links | BibTeX)
6. Thill, Markus; Konen, Wolfgang; Bäck, Thomas: Online anomaly detection on the Webscope S5 dataset: A comparative study. In: IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017), S. 1, Springer 2017. (Typ: Inproceedings | Links | BibTeX)