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Found 2 papers, 1 papers with code
Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors
We propose a new back translation-inspired evaluation methodology that utilises earlier outputs of the explainer as ground truth proxies to investigate the consistency of explainers.
Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs
The use of symbolic knowledge representation and reasoning as a way to resolve the lack of transparency of machine learning classifiers is a research area that lately attracts many researchers.
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