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Semisupervised Approach to Non Technical Losses Detection.

, , , , and . CIARP, volume 8827 of Lecture Notes in Computer Science, page 698-705. Springer, (2014)

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An a-contrario Biometric Fusion Approach., , , , , and . CVPR Workshops, page 3585-3593. Computer Vision Foundation / IEEE, (2020)Dairy Cattle Sub-clinical Uterine Disease Diagnosis Using Pattern Recognition and Image Processing Techniques., , , , , , and . CIARP, volume 8827 of Lecture Notes in Computer Science, page 690-697. Springer, (2014)Automatic Eyes and Nose Detection Using Curvature Analysis., , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 271-278. Springer, (2015)On the Quest for Foundation Generative-AI Models for Anomaly Detection in Time-Series Data., , , and . EuroS&P Workshops, page 252-260. IEEE, (2024)DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders., , , , , and . EuroS&P Workshops, page 287-293. IEEE, (2022)Fraud Detection Using Event Logs with LSTM and Gradient Boosting., , , , and . ISGT, page 1-5. IEEE, (2023)A Statistical Approach to Reliability Estimation for Fingerprint Recognition., , , , and . BIOSIG, volume P-260 of LNI, page 183-194. GI / IEEE, (2016)Motor Intention Recognition in EEG: In Pursuit of a Relevant Feature Set., , , and . CIARP, volume 7441 of Lecture Notes in Computer Science, page 551-558. Springer, (2012)Deep Generative Replay for Multivariate Time-Series Monitoring with Variational Autoencoders., , and . TMA, page 1-4. IEEE, (2023)On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series., , , and . CoRR, (2020)