PUB - Publikationen an der Universität Bielefeld

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• [5]
  

  2024 | Bielefelder E-Dissertation | PUB-ID: 2985975

  Castellani A (2024)
  Dealing with Inaccurate and Incomplete Labels in Industrial Streaming Data.
  Bielefeld: Universität Bielefeld.

  PUB | PDF | DOI
   
• [4]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969235

  Castellani A, Schmitt S, Hammer B (2022)
  Stream-Based Active Learning with Verification Latency in Non-stationary Environments.
  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. Pimenidis E, Angelov P, Jayne C, Papaleonidas A, Aydin M (Eds); Lecture Notes in Computer Science, 13532. Cham: Springer Nature Switzerland: 260-272.

  PUB | DOI | Download (ext.)
   
• [3]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982134

  Castellani A, Schmitt S, Hammer B (2021)
  Task-Sensitive Concept Drift Detector with Constraint Embedding.
  In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 01-08.

  PUB | DOI
   
• [2]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969237

  Castellani A, Schmitt S, Hammer B (2021)
  Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise.
  In: Machine Learning and Knowledge Discovery in Databases. Research Track. European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I. Oliver N, Pérez-Cruz F, Kramer S, Read J, Lozano JA (Eds); Lecture Notes in Computer Science, 12975. Cham: Springer International Publishing: 469-484.

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• [1]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969236

  Castellani A, Schmitt S, Squartini S (2021)
  Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning.
  IEEE Transactions on Industrial Informatics 17(7): 4733-4742.

  PUB | PDF | DOI | Download (ext.) | WoS