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Interpreting and explaining pagerank through argumentation semantics.

, , , and . Intelligenza Artificiale, 15 (1): 17-34 (2021)

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Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers., , , and . Frontiers Artif. Intell., (February 2023)Influence-Driven Explanations for Bayesian Network Classifiers., , , and . PRICAI (1), volume 13031 of Lecture Notes in Computer Science, page 88-100. Springer, (2021)Counterfactual Shapley Additive Explanations., , , and . FAccT, page 1054-1070. ACM, (2022)Relation-Based Counterfactual Explanations for Bayesian Network Classifiers., , , and . IJCAI, page 451-457. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Explaining Classifiers' Outputs with Causal Models and Argumentation., , , , and . FLAP, 10 (3): 421-509 (2023)REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values., , , , , and . CoRR, (2024)Argflow: A Toolkit for Deep Argumentative Explanations for Neural Networks., , , , , , , , , and . AAMAS, page 1761-1763. ACM, (2021)Descriptive Accuracy in Explanations: The Case of Probabilistic Classifiers., , , and . SUM, volume 13562 of Lecture Notes in Computer Science, page 279-294. Springer, (2022)PageRank as an Argumentation Semantics., , , and . COMMA, volume 326 of Frontiers in Artificial Intelligence and Applications, page 55-66. IOS Press, (2020)Influence-Driven Explanations for Bayesian Network Classifiers., , , and . CoRR, (2020)