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Tackling the XAI Disagreement Problem with Regional Explanations.

, , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 2017-2025. PMLR, (2024)

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How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review., , , , , , , , , and . CoRR, (2021)Tackling the XAI Disagreement Problem with Regional Explanations., , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 2017-2025. PMLR, (2024)Understanding Interventional TreeSHAP : How and Why it Works., and . CoRR, (2022)Detection and Evaluation of bias-inducing Features in Machine learning., , and . CoRR, (2023)How to certify machine learning based safety-critical systems? A systematic literature review., , , , , , , , , and . Autom. Softw. Eng., 29 (2): 38 (2022)Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set., , , , and . J. Mach. Learn. Res., (2023)Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning., , , , , and . MLHPC@SC, page 31-43. IEEE, (2019)Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions., , , , , and . ICSME, page 444-448. IEEE, (2022)Mining Action Rules for Defect Reduction Planning., , , and . Proc. ACM Softw. Eng., 1 (FSE): 2309-2331 (2024)Fooling SHAP with Stealthily Biased Sampling., , , , and . ICLR, OpenReview.net, (2023)