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Pietro Baroni

2 accepted papers

2020

Relation-Based Counterfactual Explanations for Bayesian Network Classifiers

IJCAI 2020poster

We propose a general method for generating counterfactual explanations (CFXs) for a range of Bayesian Network Classifiers (BCs), e.g. single- or multi-label, binary or multidimensional. We focus on explanations built from relations of (critical and potential) influence between variables, indicating…

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