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Générer des explications contrefactuelles à l'aide d'un autoencodeur supervisé.

, , , and . EGC, volume E-38 of RNTI, page 111-122. Editions RNTI, (2022)

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Viewing the process of generating counterfactuals as a source of knowledge - Application to the Naive Bayes classifier., , , and . CoRR, (2023)Interactive Visualization of Counterfactual Explanations for Tabular Data., , , , and . ECML/PKDD (7), volume 14175 of Lecture Notes in Computer Science, page 330-334. Springer, (2023)Visualiser des explications contrefactuelles pour des données tabulaires., , , , , and . EGC, volume E-39 of RNTI, page 557-564. Editions RNTI, (2023)Générer des explications contrefactuelles à l'aide d'un autoencodeur supervisé., , , and . EGC, volume E-38 of RNTI, page 111-122. Editions RNTI, (2022)VCNet: A Self-explaining Model for Realistic Counterfactual Generation., , , , and . ECML/PKDD (1), volume 13713 of Lecture Notes in Computer Science, page 437-453. Springer, (2022)Post-hoc Counterfactual Generation with Supervised Autoencoder., , , and . PKDD/ECML Workshops (1), volume 1524 of Communications in Computer and Information Science, page 105-114. Springer, (2021)Generating Robust Counterfactual Explanations., , , , and . ECML/PKDD (3), volume 14171 of Lecture Notes in Computer Science, page 394-409. Springer, (2023)