most citedTowards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data

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cs.AI2023

Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report)

Xiang Yin, Nico Potyka, Francesca Toni

Argumentative explainable AI has been advocated by several in recent years, with an increasing interest on explaining the reasoning outcomes of Argumentation Frameworks (AFs). Whil…