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Visual Mining and Statistics for a Turbofan Engine Fleet

Jérôme Lacaille , Etienne Côme
IEEE Aerospace Conference, Mar 2011, Big-Sky Montana, United States. pp.1-8, ⟨10.1109/AERO.2011.5747578⟩
Communication dans un congrès hal-00662333v1

Unequal time series clustering applied on flight data

Jean-Marc Bardet , Faure Cynthia , Jérôme Lacaille , Madalina Olteanu
12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+) , Jun 2017, Nancy, France
Communication dans un congrès hal-01519718v1
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Design Aircraft Engine Bivariate Data Phases using Change-Point Detection Method and Self-Organizing Maps

Jean-Marc Bardet , Cynthia Faure , Jérôme Lacaille , Madalina Olteanu
ITISE 2017, Sep 2017, Grenade, Spain
Communication dans un congrès hal-02022393v1
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Sudden change detection in turbofan engine behavior

Jérôme Lacaille , Etienne Côme
International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Jun 2011, Cardiff, United Kingdom. pp.542-548
Communication dans un congrès hal-00662337v1
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Model-based Clustering of High-dimensional Data Streams with Online Mixture of Probabilistic PCA

Anastasios Bellas , Charles Bouveyron , Marie Cottrell , Jérôme Lacaille
Advances in Data Analysis and Classification, 2013, 7, pp.281-300
Article dans une revue hal-00759945v1
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Anomaly Detection Based on Indicators Aggregation

Tsirizo Rabenoro , Jérôme Lacaille , Marie Cottrell , Fabrice Rossi
International Joint Conference on Neural Networks (IJCNN 2014), Jul 2014, Beijing, China. pp.2548--2555, ⟨10.1109/IJCNN.2014.6889841⟩
Communication dans un congrès hal-01064529v1
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Detection of Abnormal Flights Using Fickle Instances in SOM Maps

Marie Cottrell , Cynthia Faure , Jérôme Lacaille , Madalina Olteanu
Vellido A.; Gibert K; Angulo C.; Martín Guerrero J. Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. WSOM 2019., 976, Springer, Cham., pp.120-129, 2019, Advances in Intelligent Systems and Computing, 978-3-030-19641-7. ⟨10.1007/978-3-030-19642-4_12⟩
Chapitre d'ouvrage hal-02909696v1

Comparison of three algorithms for parametric change-point detection

Jean-Marc Bardet , Faure Cynthia , Jérôme Lacaille , Madalina Olteanu
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016), 2016, Bruges, Belgium
Communication dans un congrès hal-01519702v1
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Anomaly Detection Based on Aggregation of Indicators

Tsirizo Rabenoro , Jérôme Lacaille , Marie Cottrell , Fabrice Rossi
23rd annual Belgian-Dutch Conference on Machine Learning (Benelearn 2014), Jun 2014, Bruxelles, Belgium. pp.64-71
Communication dans un congrès hal-01017853v2
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Anomaly Detection for Bivariate Signals

Marie Cottrell , Cynthia Faure , Jérôme Lacaille , Madalina Olteanu
Rojas I., Joya G., Catala A. (eds). Advances in Computational Intelligence, part 1, IWANN 2019, vol 11506, Springer, Cham, pp.162-173, 2019, Lecture Notes in Computer Science,, ⟨10.1007/978-3-030-20521-8_14⟩
Chapitre d'ouvrage hal-02874017v1
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Aircraft engine health monitoring using Self-Organizing Maps

Etienne Côme , Marie Cottrell , Michel Verleysen , Jérôme Lacaille
10th Industrial Conference, ICDM 2010,, Jul 2010, Berlin, Germany. pp.405-417, ⟨10.1007/978-3-642-14400-4⟩
Communication dans un congrès hal-00458298v1
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Extreme value statistics for vibration spectra outlier detection

Aurélien Hazan , Jérôme Lacaille , Kurosh K. Madani
International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Jun 2012, Londres, United Kingdom. p.1
Communication dans un congrès hal-00681045v1
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A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation

Tsirizo Rabenoro , Jérôme Lacaille , Marie Cottrell , Fabrice Rossi
Proceedings of the 14th Industrial Conference, ICDM 2014, Jul 2014, St. Petersburg, Russia. pp.144-158, ⟨10.1007/978-3-319-08976-8_11⟩
Communication dans un congrès hal-01058431v1
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Linear smoothing of FRF for aicraft engine vibration monitoring

Aurélien Hazan , Michel Verleysen , Marie Cottrell , Jérôme Lacaille
International Conference on Noise and Vibration Engineering, Sep 2010, Leuven, Belgium. ID126, http://www.isma-isaac.be/publications/
Communication dans un congrès hal-00523747v1
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Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation

Tsirizo Rabenoro , Jérôme Lacaille , Marie Cottrell , Fabrice Rossi
Transactions on Machine Learning and Data Mining, 2014, 7 (2), pp.39-64
Article dans une revue hal-01133175v1
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Search Strategies for Binary Feature Selection for a Naive Bayes Classifier

Tsirizo Rabenoro , Jérôme Lacaille , Marie Cottrell , Fabrice Rossi
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.291-296
Communication dans un congrès hal-01162981v1

Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering

Florent Forest , Mustapha Lebbah , Hanene Azzag , Jérôme Lacaille
Neural Computing and Applications, 2021, 33 (24), pp.17439-17469. ⟨10.1007/s00521-021-06331-w⟩
Article dans une revue hal-04456304v1
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mTOR inhibitors in pediatric liver transplant recipients

Jérôme Dumortier , Eduardo Couchonnal , Florence Lacaille , Christine Rivet , Dominique Debray , et al.
Clinics and Research in Hepatology and Gastroenterology, 2019, 43, pp.403 - 409. ⟨10.1016/j.clinre.2018.11.010⟩
Article dans une revue hal-03488004v1
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Trajectory Clustering for Vibration Detection in Aircraft Engines

Aurélien Hazan , Michel Verleysen , Marie Cottrell , Jérôme Lacaille
Industrial Conference on Data mining 2010, Jul 2010, Berlin, Germany. pp.362-375
Communication dans un congrès hal-00488946v1
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Self Organizing Star (SOS) for health monitoring

Etienne Côme , Marie Cottrell , Michel Verleysen , Jérôme Lacaille
European conference on artificial neural networks,, Apr 2010, Bruges, Belgium. pp.99-104
Communication dans un congrès hal-00446594v1
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Bayesian inference for outlier detection in vibration spectra with small learning dataset

Aurélien Hazan , Michel M. Verleysen , Marie Cottrell , Jérôme Lacaille
Surveillance 6, Oct 2011, Compiègne, France. http://www.surveillance6.fr/
Communication dans un congrès hal-00660793v1

NMF-based decomposition for anomaly detection applied to vibration analysis

Mina Abdel-Sayed , Daniel Duclos , Gilles Fay , Jerome Lacaille , Mathilde Mougeot
The International Journal of Condition Monitoring, 2016, 6 (3), pp.73-81. ⟨10.1784/204764216819708104⟩
Article dans une revue hal-02526610v1
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Aircraft engine fleet monitoring using Self-Organizing Maps and Edit Distance

Etienne Côme , Marie Cottrell , Michel Verleysen , Jérôme Lacaille
Laaksonen J., Honkela T. Eds. WSOM'11 Proceedings of the 8th international conference on Advances in self-organizing maps, Springer, Berlin, pp.298-307, 2011, LNCS 7731
Chapitre d'ouvrage hal-00566239v1
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Carte SOM profonde : Apprentissage joint de représentations et auto-organisation

Florent Forest , Mustapha Lebbah , Hanene Azzag , Jérôme Lacaille
CAp2020: Conférence d'Apprentissage, Jun 2020, Vannes, France
Communication dans un congrès hal-02859997v1
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Fault prediction in aircraft engines using Self-Organizing Maps

Marie Cottrell , Patrice Gaubert , Cédric Eloy , Damien François , Geoffroy Hallaux , et al.
José Principe, Risto Miikkulainen. Advances in Self-Organizing Maps, Springer, pp.37-44, 2009, Lecture Notes in Computer Sciences LNCS 5629, ⟨10.1007/978-3-642-02397-2⟩
Chapitre d'ouvrage hal-00402660v1
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Probabilistic outlier detection in vibration spectra with small learning dataset

Aurélien Hazan , Michel Verleysen , Marie Cottrell , Jérôme Lacaille , Kurosh Madani
2012
Pré-publication, Document de travail hal-00681036v2
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Random model of vibrations for Foreign Object Damage detection in a civil aircraft engine

Aurélien Hazan , Michel Verleysen , Marie Cottrell , Jérôme Lacaille
Machine Learning for Aerospace International Workshop, Jul 2009, Marseille, France. pp.149-152
Communication dans un congrès hal-00446258v1

Long-term results of pediatric liver transplantation for autoimmune liver disease

Eduardo Couchonnal , Emmanuel Jacquemin , Alain Lachaux , Oanez Ackermann , Emmanuel Gonzales , et al.
Clinics and Research in Hepatology and Gastroenterology, 2021, 45 (3), pp.101537. ⟨10.1016/j.clinre.2020.08.013⟩
Article dans une revue hal-04172316v1
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Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring

Anastasios Bellas , Charles Bouveyron , Marie Cottrell , Jérôme Lacaille
T. Villmann, F.M. Schleif, M. Kaden, M. Lange. Advances in Self-Organizing Maps and Learning Vector Quantization Proceedings of th 10th International Workshop WSOM 2014, 295, Springer, pp.145-155, 2014, AISC,, ⟨10.1007/978-3-319-07695-9_14⟩
Chapitre d'ouvrage hal-01169573v1

Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms

Mina Abdel-Sayed , Daniel Duclos , Gilles Fay , Jérôme Lacaille , Mathilde Mougeot
Machine Learning and Data Mining in Pattern Recognition, 9729, pp.362-376, 2016, Lecture Notes in Computer Science book series, ⟨10.1007/978-3-319-41920-6_28⟩
Chapitre d'ouvrage hal-02526568v1