A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains / De Santis, Enrico; Arnò, Francesco; Martino, Alessio; Rizzi, Antonello. - 2022 International Joint Conference on Neural Networks (IJCNN), (2022), pp. 1-8. (2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 18-23 July 2022). [10.1109/IJCNN55064.2022.9892880].
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains
Martino, Alessio;
2022
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