PUB - Publikationen an der Universität Bielefeld

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• [5]
  

  2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2993739

  Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution Networks
  Vaquet V, Hinder F, Artelt A, Ashraf I, Strotherm J, Vaquet J, Brinkrolf J, Hammer B (2024)
  In: Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX. Wand M, Malinovská K, Schmidhuber J, Tetko IV (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 155-170.

  PUB | DOI
   
• [4]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2993442

  Fairness-enhancing classification methods for non-binary sensitive features—How to fairly detect leakages in water distribution systems
  Strotherm J, Ashraf MI, Hammer B (2024)
  PeerJ Computer Science 10: e2317.

  PUB | DOI | WoS
   
• [3]
  

  2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2992700

  Fairness in KI-Systemen
  Strotherm J, Müller A, Hammer B, Paaßen B (2024)
  In: Vertrauen in Künstliche Intelligenz. Eine multi-perspektivische Betrachtung. Schork S (Ed); Wiesbaden: Springer Fachmedien Wiesbaden: 163-183.

  PUB | DOI | arXiv
   
• [2]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2988175

  Physics-Informed Graph Neural Networks for Water Distribution Systems
  Ashraf MI, Strotherm J, Hermes L, Hammer B (2024)
  In: THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 20. Palo alto: Assoc Advancement Artificial Intelligence.

  PUB | WoS
   
• [1]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980971

  Fairness-Enhancing Ensemble Classification in Water Distribution Networks
  Strotherm J, Hammer B (2023)
  Presented at the International Work-Conference on Artificial Neural Networks (IWANN) 2023, Ponta Delgada.

  PUB | DOI | Download (ext.)