In:
2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), IEEE
Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability
Tom Hammerbacher , Gorden Platz und Markus Lange-Hegermann,
Aug 2021
Literatur Beschaffung:
2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), IEEE
Bibtex: Download Bibtex
@inproceedings{2314,
}
| author | = | {Hammerbacher, Tom and Platz, Gorden and Lange-Hegermann, Markus}, |
| title | = | {Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability}, |
| booktitle | = | {2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)}, |
| year | = | {2021}, |
| editor | = | {}, |
| volume | = | {}, |
| series | = | {}, |
| pages | = | {1262-1267}, |
| address | = | {https://arxiv.org/abs/2103.12998}, |
| month | = | {Aug}, |
| organisation | = | {}, |
| publisher | = | {IEEE}, |
| note | = | {}, |