"Evaluation of deep unsupervised anomaly detection methods with a ..."

Alexander Zeiser et al. (2023)

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DOI: 10.1016/J.COMPIND.2023.103852

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type: Journal Article

metadata version: 2024-05-07

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Alexander Zeiser, Bekir Özcan, Bas van Stein, Thomas Bäck:
Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection. Comput. Ind. 146: 103852 (2023)

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