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Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations., , , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 46 (4): 2104-2122 (April 2024)Deep Neural Networks and Tabular Data: A Survey., , , , , and . CoRR, (2021)I Prefer not to Say: Operationalizing Fair and User-guided Data Minimization., , , and . CoRR, (2022)On the Trade-Off between Actionable Explanations and the Right to be Forgotten., , , and . ICLR, OpenReview.net, (2023)Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling., , , and . ESANN, (2021)On the Trade-Off between Actionable Explanations and the Right to be Forgotten., , , and . CoRR, (2022)Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes., , , and . CoRR, (2023)Towards Human-centered Explainable AI: User Studies for Model Explanations., , , , , , and . CoRR, (2022)Disentangling Embedding Spaces with Minimal Distributional Assumptions., , , , and . CoRR, (2022)Towards Non-Adversarial Algorithmic Recourse., , , and . CoRR, (2024)