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cs.LG2024★ 1 cited
An Interpretable Rule Creation Method for Black-Box Models based on Surrogate Trees -- SRules
Mario Parrón Verdasco, Esteban García-Cuesta
As artificial intelligence (AI) systems become increasingly integrated into critical decision-making processes, the need for transparent and interpretable models has become paramou…
cs.LG2024
Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness
Riccardo Pala, Esteban García-Cuesta
The notion of robustness in XAI refers to the observed variations in the explanation of the prediction of a learned model with respect to changes in the input leading to that predi…