Persistent URL of this record https://hdl.handle.net/1887/3736355
Documents
-
- Download
- Computers_in_Industry_146_2023_103852
- Publisher's Version
- open access
- Full text at publishers site
In Collections
This item can be found in the following collections:
Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection
- All authors
- Zeiser, A.; Özcan, B.; Stein, N. van; Bäck, T.H.W.
- Date
- 2023
- Journal
- Computers in Industry
- Volume
- 146