7 Publikationen

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  • [7]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988165
    Muschalik M, Fumagalli F, Hammer B, Hüllermeier E. Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. Proceedings of the AAAI Conference on Artificial Intelligence. 2024;38(13):14388-14396.
    PUB | DOI
     
  • [6]
    2023 | Konferenzbeitrag | PUB-ID: 2987580
    Fumagalli F, Muschalik M, Kolpaczki P, Hüllermeier E, Hammer B. SHAP-IQ: Unified Approximation of any-order Shapley Interactions. In: Advances in Neural Information Processing Systems 36 (NeurIPS 2023). 2023.
    PUB | Download (ext.) | arXiv
     
  • [5]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983756
    Fumagalli F, Muschalik M, Hüllermeier E, Hammer B. On Feature Removal for Explainability in Dynamic Environments. In: ESANN 2023 proceedings. 2023: 83-88.
    PUB | DOI
     
  • [4]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983943
    Muschalik M, Fumagalli F, Hammer B, Hüllermeier E. iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. In: Koutra D, Plant C, Gomez Rodriguez M, Baralis E, Bonchi F, eds. Machine Learning and Knowledge Discovery in Databases: Research Track. European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part III. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland; 2023: 428-445.
    PUB | DOI
     
  • [3]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2983727
    Fumagalli F, Muschalik M, Hüllermeier E, Hammer B. Incremental permutation feature importance (iPFI): towards online explanations on data streams. Machine Learning . 2023.
    PUB | DOI | WoS
     
  • [2]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983942
    Muschalik M, Fumagalli F, Jagtani R, Hammer B, Hüllermeier E. iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. In: Longo L, ed. Explainable Artificial Intelligence. First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I. Communications in Computer and Information Science. Cham: Springer Nature Switzerland; 2023: 177-194.
    PUB | DOI
     
  • [1]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2964421
    Muschalik M, Fumagalli F, Hammer B, Hüllermeier E. Agnostic Explanation of Model Change based on Feature Importance. KI - Künstliche Intelligenz. 2022.
    PUB | DOI | Download (ext.) | WoS
     

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