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Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms.

, , , , , , , , and . CoRR, (2021)

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A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost., , and . HAIS, volume 10334 of Lecture Notes in Computer Science, page 268-280. Springer, (2017)KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework., , , , and . J. Multiple Valued Log. Soft Comput., 17 (2-3): 255-287 (2011)A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training., , and . CoRR, (2021)Low-Impact Feature Reduction Regularization Term: How to Improve Artificial Intelligence with Explainability., , and . xAI (Late-breaking Work, Demos, Doctoral Consortium), volume 3554 of CEUR Workshop Proceedings, page 135-139. CEUR-WS.org, (2023)Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses., , and . HAIS, volume 14001 of Lecture Notes in Computer Science, page 39-48. Springer, (2023)A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms., , , and . ISDA, page 517-522. IEEE Computer Society, (2009)Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness., , , and . Inf. Sci., (2013)A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees., , , and . HAIS (2), volume 7209 of Lecture Notes in Computer Science, page 25-35. Springer, (2012)Shared domains of competence of approximate learning models using measures of separability of classes., and . Inf. Sci., 185 (1): 43-65 (2012)On the use of Measures of Separability of Classes to Characterise the Domains of Competence of a Fuzzy Rule Based Classification System., and . IFSA/EUSFLAT Conf., page 1027-1032. (2009)