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cs.AI2026
An Explainable GNN Framework for Component-Level Anomaly Diagnosis
Sena Ozgunay, Louise Travé-Massuyès, Louise Trav{é}-Massuy{è}s +2
Industrial processes are complex systems composed of multiple interacting sensors that generate multivariate time series (MTS). Detecting anomalies in such systems is critical for…
cs.AI2021
Benchmarking Safety Monitors for Image Classifiers with Machine Learning
Raul Sena Ferreira, Jean Arlat, Jeremie Guiochet +1
High-accurate machine learning (ML) image classifiers cannot guarantee that they will not fail at operation. Thus, their deployment in safety-critical applications such as autonomo…