LaMME, University Paris Saclay, Stellantis Paris; LaMME, ENSIIE, University Paris Saclay, Quantmetry Paris
Salim I. Amoukou, Nicolas Brunel
Interpretability;Trustworthy ML;Robust and Reliable ML;rule-based models;learning theory;random forests;explainable ai;consistency;tree-based models
Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor