PUB - Publikationen an der Universität Bielefeld

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• [7]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988165

  M. Muschalik, F. Fumagalli, B. Hammer, and E. Hüllermeier, “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles”, Proceedings of the AAAI Conference on Artificial Intelligence, 2024, 38, 14388-14396.

  PUB | DOI
   
• [6]
  

  2023 | Konferenzbeitrag | PUB-ID: 2987580

  F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, and B. Hammer, in Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 2023.

  PUB | Download (ext.) | arXiv
   
• [5]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983756

  F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, in ESANN 2023 proceedings, 2023, p. 83-88.

  PUB | DOI
   
• [4]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983943

  M. Muschalik, F. Fumagalli, B. Hammer, and E. Hüllermeier, in Machine Learning and Knowledge Discovery in Databases: Research Track. European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part III (Eds.: D. Koutra, C. Plant, M. Gomez Rodriguez, E. Baralis, F. Bonchi), Springer Nature Switzerland, Cham, 2023, p. 428-445.

  PUB | DOI
   
• [3]
  

  2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983727

  F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “Incremental permutation feature importance (iPFI): towards online explanations on data streams”, Machine Learning , 2023.

  PUB | DOI | WoS
   
• [2]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983942

  M. Muschalik, F. Fumagalli, R. Jagtani, B. Hammer, and E. Hüllermeier, in Explainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I (Ed.: L. Longo), Springer Nature Switzerland, Cham, 2023, p. 177-194.

  PUB | DOI
   
• [1]
  

  2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2964421

  M. Muschalik, F. Fumagalli, B. Hammer, and E. Hüllermeier, “Agnostic Explanation of Model Change based on Feature Importance”, KI - Künstliche Intelligenz, 2022.

  PUB | DOI | Download (ext.) | WoS