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cs.LG2026
Dealing with Uncertainty in Contextual Anomaly Detection
Luca Bindini, Lorenzo Perini, Stefano Nistri +2
Contextual anomaly detection (CAD) aims to identify anomalies in a target (behavioral) variable conditioned on a set of contextual variables that influence the normalcy of the targ…
cs.LG2024
Deep Neural Network Benchmarks for Selective Classification
Andrea Pugnana, Lorenzo Perini, Jesse Davis +1
With the increasing deployment of machine learning models in many socially sensitive tasks, there is a growing demand for reliable and trustworthy predictions. One way to accomplis…