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UPAD: Unsupervised privacy-aware anomaly detection in high performance computing systems. Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS - Science and Technology Publications, (2019)A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement, and . (2024)Anomaly detection in high performance computers: A vicinity perspective, and . 2019 18th International Symposium on Parallel and Distributed Computing (ISPDC), IEEE, (June 2019)Assessing anonymized system logs usefulness for behavioral analysis in RNN models, and . (2022)