PUB - Publikationen an der Universität Bielefeld

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• [7]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988165

  M. Muschalik, et al., “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles”, Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, 2024, pp. 14388-14396.

  PUB | DOI
   
• [6]
  

  2023 | Konferenzbeitrag | PUB-ID: 2987580

  F. Fumagalli, et al., “SHAP-IQ: Unified Approximation of any-order Shapley Interactions”, Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 2023.

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

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983756

  F. Fumagalli, et al., “On Feature Removal for Explainability in Dynamic Environments”, ESANN 2023 proceedings, 2023, pp.83-88.

  PUB | DOI
   
• [4]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983943

  M. Muschalik, et al., “iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams”, Machine Learning and Knowledge Discovery in Databases: Research Track. European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part III, D. Koutra, et al., eds., Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2023, pp.428-445.

  PUB | DOI
   
• [3]
  

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

  F. Fumagalli, et al., “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, et al., “iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios”, Explainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I, L. Longo, ed., Communications in Computer and Information Science, Cham: Springer Nature Switzerland, 2023, pp.177-194.

  PUB | DOI
   
• [1]
  

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

  M. Muschalik, et al., “Agnostic Explanation of Model Change based on Feature Importance”, KI - Künstliche Intelligenz, 2022.

  PUB | DOI | Download (ext.) | WoS