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Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study.

, , , , , , and . Neurocomputing, (August 2023)

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Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study., , , , , , and . Neurocomputing, (August 2023)Lasso Estimation of an Interval-Valued Multiple Regression Model., , and . SMPS, volume 315 of Advances in Intelligent Systems and Computing, page 185-191. Springer, (2014)Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms., , , , , , , , and . Neurocomputing, (2021)A set arithmetic-based linear regression model for modelling interval-valued responses through real-valued variables., , and . Inf. Sci., (2013)Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms., , , , , , , , and . CoRR, (2021)Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series., , , , , and . Inf. Fusion, (December 2023)A Linear Regression Model for Interval-Valued Response Based on Set Arithmetic., , , and . SMPS, volume 190 of Advances in Intelligent Systems and Computing, page 105-113. Springer, (2012)