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A. Pagliaro

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Open access Sep 2026

A quantitative benchmark for explainable artificial intelligence in astronomical transient classification

Explainable artificial intelligence ( , an open benchmark that evaluates explanation quality along five complementary axes -- perturbation-based faithfulness, deletion and insertion AUC, complexity, cross-representation plausibility, and the standard model- and data-randomisation sanity checks -- applied to nine classi...

A. Pagliaro · 0 citations

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