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cs.LG2025
Tighten The Lasso: A Convex Hull Volume-based Anomaly Detection Method
Uri Itai, Asael Bar Ilan, Teddy Lazebnik
Detecting out-of-distribution (OOD) data is a critical task for maintaining model reliability and robustness. In this study, we propose a novel anomaly detection algorithm that lev…
cs.LG2022
Parametric PDF for Goodness of Fit
Natan Katz, Uri Itai
The goodness of fit methods for classification problems relies traditionally on confusion matrices. This paper aims to enrich these methods with a risk evaluation and stability ana…