1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
Goodness of Fit Metrics for Multi-class Predictor
Uri Itai, Natan Katz
The multi-class prediction had gained popularity over recent years. Thus measuring fit goodness becomes a cardinal question that researchers often have to deal with. Several metric…
Approximation operators for matrix-valued functions based on matrix decompositions
Nira Dyn, Uri Itai, Nir Sharon
Given a set of matrices, modeled as samples of a matrix-valued function, we suggest a method to approximate the underline function using a product approximation operator. This oper…