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Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry.

, , , , and . DSAA, page 1-10. IEEE, (2021)

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Detection of Fraud Symptoms in the Retail Industry., , and . IBERAMIA, volume 10022 of Lecture Notes in Computer Science, page 189-200. (2016)Utility-based regression, and . European Conference on Principles of Data Mining and Knowledge Discovery, page 597--604. Springer, (2007)Utility-based Regression. University of Porto, PhD thesis, (2011)Precision and Recall for Regression., and . Discovery Science, volume 5808 of Lecture Notes in Computer Science, page 332-346. Springer, (2009)Resampling with neighbourhood bias on imbalanced domains., , and . Expert Syst. J. Knowl. Eng., (2018)Data-Driven Predictive Maintenance., , and . IEEE Intell. Syst., 37 (4): 27-29 (2022)Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry., , , , and . DSAA, page 1-10. IEEE, (2021)Why Industry 5.0 Needs XAI 2.0?, , , , , , , , , and . xAI (Late-breaking Work, Demos, Doctoral Consortium), volume 3554 of CEUR Workshop Proceedings, page 1-6. CEUR-WS.org, (2023)SMOTE for Regression., , , and . EPIA, volume 8154 of Lecture Notes in Computer Science, page 378-389. Springer, (2013)Learning Through Utility Optimization in Regression Tasks., , , , , and . DSAA, page 30-39. IEEE, (2017)