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On benchmark experiments and visualization methods for the evaluation and interpretation of machine learning models.. Ludwig Maximilian University of Munich, Germany, (2019)Interpretable Regional Descriptors: Hyperbox-Based Local Explanations., , , and . ECML/PKDD (3), volume 14171 of Lecture Notes in Computer Science, page 479-495. Springer, (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)Efficient and Accurate Explanation Estimation with Distribution Compression., , , and . CoRR, (2024)On the Robustness of Global Feature Effect Explanations., , , and . ECML/PKDD (2), volume 14942 of Lecture Notes in Computer Science, page 125-142. Springer, (2024)Component-Wise Boosting of Targets for Multi-Output Prediction., , , , , and . CoRR, (2019)Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT)., , , , and . CoRR, (2021)Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration., , , , , , , , , and . CoRR, (2024)Interpretable Machine Learning - A Brief History, State-of-the-Art and Challenges., , and . PKDD/ECML Workshops, volume 1323 of Communications in Computer and Information Science, page 417-431. Springer, (2020)REPID: Regional Effect Plots with implicit Interaction Detection., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 10209-10233. PMLR, (2022)