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Relation-Based Counterfactual Explanations for Bayesian Network Classifiers
We propose a general method for generating counterfactual explanations (CFXs) for a range of Bayesian Network Classifiers (BCs), e.g. singleor multi-label, binary or multidimensional. We focus on… Expand
Explaining PageRank through Argumentation
- Emanuele Albini
In this paper we show how re-interpreting PageRank as an argumentation semantics for a bipolar argumentation framework empowers its explainability. To this purpose we propose several types of… Expand