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January 19, 2023 article Open access Aachen paper

Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection

Computers in Industry, vol. 146, pp. 103852

DOI: 10.1016/j.compind.2023.103852 Full text (OA) OpenAlex

Authors 4

  1. Alexander Zeiser corresponding Aachen Leiden Institute of Advanced Computer Science

    Leiden University · BMW (Germany)

    Affiliation as printed

    Bayerische Motorenwerke AG, Ohmstrasse 2, Landshut, 84030, Germany

    Leiden Institute of Advanced Computer Science, Niels Bohrweg 1, Leiden, 2333 CA, The Netherlands

  2. Bekir Özcan

    BMW (Germany)

    Affiliation as printed

    Bayerische Motorenwerke AG, Ohmstrasse 2, Landshut, 84030, Germany

  3. Bas van Stein Aachen Leiden Institute of Advanced Computer Science

    Leiden University

    Affiliation as printed

    Leiden Institute of Advanced Computer Science , Niels Bohrweg 1 , Leiden , 2333 CA , The Netherlands

    Leiden Institute of Advanced Computer Science, Niels Bohrweg 1, Leiden, 2333 CA, The Netherlands

  4. Thomas Bäck Aachen Leiden Institute of Advanced Computer Science

    Leiden University

    Affiliation as printed

    Leiden Institute of Advanced Computer Science, Niels Bohrweg 1, Leiden, 2333 CA, The Netherlands

Cited by 44 stored of 44

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References 46