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cs.LG2026
Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings
Inês Oliveira e Silva, Sérgio Jesus, Iker Perez +4
Shapley values are a cornerstone of explainable AI, yet their proliferation into competing formulations has created a fragmented landscape with little consensus on practical deploy…
cs.LG2026
Beyond the Mean: Distribution-Aware Loss Functions for Bimodal Regression
Abolfazl Mohammadi-Seif, Carlos Soares, Rita P. Ribeiro +1
Despite the strong predictive performance achieved by machine learning models across many application domains, assessing their trustworthiness through reliable estimates of predict…