Categorization of anomaly detection:
Papers:
ROCKAD: Transferring ROCKET to whole time series anomaly detection.
Andreas Theissler, Manuel Wengert, Felix Gerschner (2023). In International Symposium on Intelligent Data Analysis 2023, Springer LNCS.
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Detecting known and unknown faults in automotive systems using ensemble-based anomaly detection. Theissler, A. (2017). Elsevier Journal Knowledge-Based Systems. Vol 123, May 2017, 163-173. Download accepted manuscript , Link to paper
Detecting anomalies in multivariate time series from automotive systems. Theissler, A. (2013). Brunel University. PhD Thesis. ISBN: 9783843913485
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OCADaMi: One-Class Anomaly Detection and Data Mining Toolbox. Theissler A., Frey S., Ehlert J. (2020). In: Machine Learning and Knowledge Discovery in Databases. Proceedings ECML PKDD 2019. Lecture Notes in Computer Science, vol 11908. pages 764-768. ISBN: 978-3-030-46132-4, Springer, Cham. Download preprint , Link to paper
VIAL-AD: Visual Interactive Labelling for Anomaly Detection – An approach and open research questions. Andreas Theissler, Anna-Lena Kraft, Max Rudeck, Fabian Erlenbusch (2020). Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020) pages 84-89, CEUR, Vol-2660, ISSN 1613-0073. Link to paper
Multi-class Novelty Detection in Diagnostic Trouble Codes from Repair Shops. Theissler, A. (2017). Proceedings IEEE International Conference on Industrial Informatics. 2017. DOI: 10.1109/INDIN.2017.8104917. Download , Link to paper
Anomaly detection in recordings from in-vehicle networks. Theissler, A. (2014). Proceedings International Workshop on Big Data Applications and Principles 2014, Madrid. Download , Download
In Situ Failure Detection of Electronic Control Units Using Piezoresistive Stress Sensor. Prisacaru, A., Palczynska, A., Theissler, A., Gromala, P., Han, B., & Zhang, G. Q. (2018). IEEE Journal Transactions on Components, Packaging and Manufacturing Technology, 8(5), 750-763. Link to paper
Interactive Anomaly Detection in time series resulting from local traffic measurements. Theissler, A., Palmer, J. Rehborn, H., Dear, I. (2011).
Proceedings of the IADIS European Conference Data Mining 2011. IADIS Press, Lisbon.
Interactive knowledge discovery in recordings from vehicle tests. Theissler, A., Ulmer, D., Dear, I. (2010).
Proceedings 33rd FISITA World Automotive Congress 2010. FISITA.
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