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Anomalies Detection in the Behavior of Processes Using the Sensor Validation Theory.

, , , and . IBERAMIA, volume 10022 of Lecture Notes in Computer Science, page 14-24. (2016)

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A Probabilistic Model for Sensor Validation., , and . UAI, page 332-339. Morgan Kaufmann, (1996)A Layered, Any Time Approach to Sensor Validation., , and . ECSQARU-FAPR, volume 1244 of Lecture Notes in Computer Science, page 336-349. Springer, (1997)Online Diagnosis Using Influence Diagrams., and . MICAI, volume 2972 of Lecture Notes in Computer Science, page 546-554. Springer, (2004)Solving Hybrid Markov Decision Processes., , , and . MICAI, volume 4293 of Lecture Notes in Computer Science, page 227-236. Springer, (2006)Abstraction and Refinement for Solving Continuous Markov Decision Processes., , , and . Probabilistic Graphical Models, page 263-270. (2006)Any Time Probabilistic Reasoning for Sensor Validation, , and . CoRR, (2013)A Probabilistic Spatial-Temporal Model and its Application to Wind Prediction., , and . FLAIRS Conference, page 768-772. AAAI Press, (2017)Transformer Diagnosis Using Probabilistic Vibration Models., , and . MICAI, volume 5845 of Lecture Notes in Computer Science, page 87-98. Springer, (2009)Anomalies Detection in the Behavior of Processes Using the Sensor Validation Theory., , , and . IBERAMIA, volume 10022 of Lecture Notes in Computer Science, page 14-24. (2016)A local multiscale probabilistic graphical model for data validation and reconstruction, and its application in industry., , , , , , and . Eng. Appl. Artif. Intell., (2018)