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News/Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection
arxiv
PublishedJuly 10, 2026 at 4:00 AM
—neutral

Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection

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Publisher summary· verbatim

arXiv:2603.23318v2 Announce Type: replace Abstract: Among the different possible strategies for evaluating the reliability of individual predictions of classifiers, robustness quantification stands out as a method that evaluates how much uncertainty a classifier could cope with before changing its p

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