The Robustness of Counterfactual Explanations Over Time
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DOI: 10.1109/access.2022.3196917
Abstract: Counterfactual explanations are a prominent example of post-hoc interpretability methods in the explainable Artificial Intelligence (AI) research domain. Differently from other explanation methods, they offer the possibility to have recourse against unfavourable outcomes computed by… read more here.
Keywords: counterfactual explanations; time; machine learning; robustness counterfactual ... See more keywords