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Interpretable Regional Descriptors: Hyperbox-Based Local Explanations.

, , , and . ECML/PKDD (3), volume 14171 of Lecture Notes in Computer Science, page 479-495. Springer, (2023)

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Causal Fair Machine Learning via Rank-Preserving Interventional Distributions., , and . AEQUITAS@ECAI, volume 3523 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)mlr3summary: Concise and interpretable summaries for machine learning models., , , , and . CoRR, (2024)Interpretable Regional Descriptors: Hyperbox-Based Local Explanations., , , and . ECML/PKDD (3), volume 14171 of Lecture Notes in Computer Science, page 479-495. Springer, (2023)Evaluating machine learning models in non-standard settings: An overview and new findings., , , , , , , and . CoRR, (2023)Developing Open Source Educational Resources for Machine Learning and Data Science., , , , , , and . Teaching ML, volume 207 of Proceedings of Machine Learning Research, page 1-6. PMLR, (2022)Developing Open Source Educational Resources for Machine Learning and Data Science., , , , , , and . CoRR, (2021)A Guide to Feature Importance Methods for Scientific Inference., , , , , and . CoRR, (2024)Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?, , , , , and . ICML, OpenReview.net, (2024)