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The Robustness of Counterfactual Explanations Over Time

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 machine learning...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Andrea Ferrario, Michele Loi
Hōputu: Artigo
Reo:Inglês
I whakaputaina: IEEE 2022-01-01
Rangatū:IEEE Access
Ngā marau:
Urunga tuihono:https://ieeexplore.ieee.org/document/9851645/
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