A Methodical Approach to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data
C. Lenz, C. Henke, A. Trächtler, in: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), IEEE, 2023.
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Lenz, Cederic;
Henke, Christian;
Trächtler, AnsgarLibreCat
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2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
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Lenz C, Henke C, Trächtler A. A Methodical Approach to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data. In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE; 2023. doi:10.1109/indin51400.2023.10218108
Lenz, C., Henke, C., & Trächtler, A. (2023). A Methodical Approach to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). https://doi.org/10.1109/indin51400.2023.10218108
@inproceedings{Lenz_Henke_Trächtler_2023, title={A Methodical Approach to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data}, DOI={10.1109/indin51400.2023.10218108}, booktitle={2023 IEEE 21st International Conference on Industrial Informatics (INDIN)}, publisher={IEEE}, author={Lenz, Cederic and Henke, Christian and Trächtler, Ansgar}, year={2023} }
Lenz, Cederic, Christian Henke, and Ansgar Trächtler. “A Methodical Approach to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data.” In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE, 2023. https://doi.org/10.1109/indin51400.2023.10218108.
C. Lenz, C. Henke, and A. Trächtler, “A Methodical Approach to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data,” 2023, doi: 10.1109/indin51400.2023.10218108.
Lenz, Cederic, et al. “A Methodical Approach to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data.” 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), IEEE, 2023, doi:10.1109/indin51400.2023.10218108.
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