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  1. Chapter and Conference Paper

    Feature Necessity & Relevancy in ML Classifier Explanations

    Given a machine learning (ML) model and a prediction, explanations can be defined as sets of features which are sufficient for the prediction. In some applications, and besides asking for an explanation, it is...

    Xuanxiang Huang, Martin C. Cooper in Tools and Algorithms for the Construction … (2023)