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Outils statistiques de traitement d'indicateurs pour le diagnostic et le pronostic des moteurs d'avionsMachine Learning [stat.ML]. Université Paris 1 Panthéon Sorbonne, 2015. Français. ⟨NNT : ⟩
Theses
tel-01225739v1
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Anomaly Detection Based on Aggregation of Indicators23rd annual Belgian-Dutch Conference on Machine Learning (Benelearn 2014), Jun 2014, Bruxelles, Belgium. pp.64-71
Conference papers
hal-01017853v2
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A Methodology for the Diagnostic of Aircraft Engine Based on Indicators AggregationProceedings of the 14th Industrial Conference, ICDM 2014, Jul 2014, St. Petersburg, Russia. pp.144-158, ⟨10.1007/978-3-319-08976-8_11⟩
Conference papers
hal-01058431v1
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Anomaly Detection Based on Indicators AggregationInternational Joint Conference on Neural Networks (IJCNN 2014), Jul 2014, Beijing, China. pp.2548--2555, ⟨10.1109/IJCNN.2014.6889841⟩
Conference papers
hal-01064529v1
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Search Strategies for Binary Feature Selection for a Naive Bayes ClassifierEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.291-296
Conference papers
hal-01162981v1
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Interpretable Aircraft Engine Diagnostic via Expert Indicator AggregationTransactions on Machine Learning and Data Mining, 2014, 7 (2), pp.39-64
Journal articles
hal-01133175v1
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