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• [7]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988165

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

  PUB | DOI
   
• [6]
  

  2023 | Konferenzbeitrag | PUB-ID: 2987580

  Fumagalli, F., Muschalik, M., Kolpaczki, P., Hüllermeier, E., and Hammer, B. (2023). “SHAP-IQ: Unified Approximation of any-order Shapley Interactions” in Advances in Neural Information Processing Systems 36 (NeurIPS 2023).

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

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983756

  Fumagalli, F., Muschalik, M., Hüllermeier, E., and Hammer, B. (2023). “On Feature Removal for Explainability in Dynamic Environments” in ESANN 2023 proceedings 83-88.

  PUB | DOI
   
• [4]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983943

  Muschalik, M., Fumagalli, F., Hammer, B., and Hüllermeier, E. (2023). “iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams” in Machine Learning and Knowledge Discovery in Databases: Research Track. European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part III, Koutra, D., Plant, C., Gomez Rodriguez, M., Baralis, E., and Bonchi, F. eds. Lecture Notes in Computer Science (Cham: Springer Nature Switzerland), 428-445.

  PUB | DOI
   
• [3]
  

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

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

  PUB | DOI | WoS
   
• [2]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983942

  Muschalik, M., Fumagalli, F., Jagtani, R., Hammer, B., and Hüllermeier, E. (2023). “iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios” in Explainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I, Longo, L. ed. Communications in Computer and Information Science (Cham: Springer Nature Switzerland), 177-194.

  PUB | DOI
   
• [1]
  

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

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

  PUB | DOI | Download (ext.) | WoS