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Benchmarking and survey of explanation methods for black box models.

, , , , , and . Data Min. Knowl. Discov., 37 (5): 1719-1778 (September 2023)

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Benchmarking and Survey of Explanation Methods for Black Box Models., , , , , and . CoRR, (2021)Explainable for Trustworthy AI., , and . ACAI, volume 13500 of Lecture Notes in Computer Science, page 175-195. Springer, (2021)Interpretable Latent Space to Enable Counterfactual Explanations., , , and . DS, volume 13601 of Lecture Notes in Computer Science, page 525-540. Springer, (2022)Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis., , , and . SEBD, volume 2646 of CEUR Workshop Proceedings, page 100-107. CEUR-WS.org, (2020)Benchmarking and survey of explanation methods for black box models., , , , , and . Data Min. Knowl. Discov., 37 (5): 1719-1778 (September 2023)Transparent Latent Space Counterfactual Explanations for Tabular Data., , , and . DSAA, page 1-10. IEEE, (2022)Benchmark Analysis of Black Box Local Explanation Methods., , , and . XAI.it@AI*IA, volume 3277 of CEUR Workshop Proceedings, page 73-87. CEUR-WS.org, (2022)Explaining Black Box with Visual Exploration of Latent Space., , , , , and . EuroVis (Short Papers), page 85-89. Eurographics Association, (2022)