5 Publikationen

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  • [5]
    2024 | Bielefelder E-Dissertation | PUB-ID: 2985975 OA
    A. Castellani, Dealing with Inaccurate and Incomplete Labels in Industrial Streaming Data, Universität Bielefeld, Bielefeld, 2024.
    PUB | PDF | DOI
     
  • [4]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969235
    A. Castellani, S. Schmitt, and B. Hammer, in Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings; Part IV (Eds.: E. Pimenidis, P. Angelov, C. Jayne, A. Papaleonidas, M. Aydin), Springer Nature Switzerland, Cham, 2022, p. 260-272.
    PUB | DOI | Download (ext.)
     
  • [3]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982134
    A. Castellani, S. Schmitt, and B. Hammer, in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Ieee, 2021, p. 01-08.
    PUB | DOI
     
  • [2]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969237
    A. Castellani, S. Schmitt, and B. Hammer, in Machine Learning and Knowledge Discovery in Databases. Research Track. European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I (Eds.: N. Oliver, F. Pérez-Cruz, S. Kramer, J. Read, J.A. Lozano), Springer International Publishing, Cham, 2021, p. 469-484.
    PUB | DOI | Download (ext.)
     
  • [1]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969236 OA
    A. Castellani, S. Schmitt, and S. Squartini, “Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning”, IEEE Transactions on Industrial Informatics, 2021, 17, 4733-4742.
    PUB | PDF | DOI | Download (ext.) | WoS
     

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