Article
Lukas Ehrig, Daniel Atzberger, Benjamin Hagedorn, Jan Klimke, and Jürgen Döllner
Customizable Asymmetric Loss Functions for Machine Learning-based Predictive Maintenance
- Authors
- Lukas Ehrig, Daniel Atzberger, Benjamin Hagedorn, Jan Klimke, and Jürgen Döllner
- Title
- Customizable Asymmetric Loss Functions for Machine Learning-based Predictive Maintenance
- Year
- 2020
- [...]
- [content deliberately omitted]
@inproceedings{ehrig2020asymmetric,
author = {Ehrig, Lukas and Atzberger, Daniel and Hagedorn, Benjamin and Klimke, Jan and Döllner, Jürgen},
booktitle = {8th International Conference on Condition Monitoring and Diagnosis},
title = {Customizable Asymmetric Loss Functions for Machine Learning-based Predictive Maintenance},
year = {2020},
publisher = {IEEE},
}
Chair
Prof. Dr. Jürgen Döllner
Computer Graphics Systems
Hasso-Plattner-Institut für Digital Engineering gGmbH
Prof-Dr.-Helmert-Str. 2-3
14482 Potsdam, GermanyAssistant: Johanna Westphal
Room: H-2.15
Tel: +49 (0)331 5509-170
Fax: +49 (0)331 5509-172
Email: office-doellner@hpi.de
Computer Graphics Systems
Hasso-Plattner-Institut für Digital Engineering gGmbH
Prof-Dr.-Helmert-Str. 2-3
14482 Potsdam, GermanyAssistant: Johanna Westphal
Room: H-2.15
Tel: +49 (0)331 5509-170
Fax: +49 (0)331 5509-172
Email: office-doellner@hpi.de
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