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Jérôme Lacaille
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2020 – today
- 2024
- [c27]Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille:
AESim: A Data-Driven Aircraft Engine Simulator. IJCAI 2024: 8737-8740 - [c26]Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille:
One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling. IJCNN 2024: 1-9 - 2023
- [c25]Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille:
Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. PAKDD (1) 2023: 210-222 - 2022
- [c24]Jean Coussirou, Thomas Vanaret, Jérôme Lacaille:
Anomaly detections on the oil system of a turbofan engine by a neural autoencoder. ESANN 2022 - [i8]Abdellah Madane, Mohamed Djallel Dilmi, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille:
Transformer-based conditional generative adversarial network for multivariate time series generation. CoRR abs/2210.02089 (2022) - 2021
- [j4]Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille:
Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering. Neural Comput. Appl. 33(24): 17439-17469 (2021) - [c23]Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu:
Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? ESANN 2021 - [c22]Raphaël Langhendries, Jérôme Lacaille:
Deep Learning Model for Context-Dependent Survival Analysis. ESANN 2021 - 2020
- [c21]Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu:
Sparse K-means for mixed data via group-sparse clustering. ESANN 2020: 235-240 - [c20]Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille:
An Invariance-guided Stability Criterion for Time Series Clustering Validation. ICPR 2020: 9296-9303 - [i7]Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille:
Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion. CoRR abs/2006.08530 (2020) - [i6]Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille:
A Survey and Implementation of Performance Metrics for Self-Organized Maps. CoRR abs/2011.05847 (2020)
2010 – 2019
- 2019
- [c19]Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille:
Deep Embedded SOM: joint representation learning and self-organization. ESANN 2019 - [c18]Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu:
Anomaly Detection for Bivariate Signals. IWANN (1) 2019: 162-173 - [c17]Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille:
Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps. PAKDD (Workshops) 2019: 105-116 - [c16]Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu:
Detection of Abnormal Flights Using Fickle Instances in SOM Maps. WSOM+ 2019: 120-129 - 2018
- [c15]Florent Forest, Jérôme Lacaille, Mustapha Lebbah, Hanene Azzag:
A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data. IEEE BigData 2018: 1918-1924 - 2017
- [c14]Cynthia Faure, Madalina Olteanu, Jean-Marc Bardet, Jérôme Lacaille:
Using self-organizing maps for clustering anc labelling aircraft engine data phases. WSOM 2017: 96-103 - 2016
- [c13]Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot:
anomaly detection on spectrograms using data-driven and fixed dictionary representations. ESANN 2016 - [c12]Cynthia Faure, Jean-Marc Bardet, Madalina Olteanu, Jérôme Lacaille:
Comparison of three algorithms for parametric change-point detection. ESANN 2016 - [c11]Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot:
Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms. MLDM 2016: 362-376 - 2015
- [c10]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. ESANN 2015 - [i5]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. CoRR abs/1503.05526 (2015) - [i4]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. CoRR abs/1506.04177 (2015) - 2014
- [j3]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. Trans. Mach. Learn. Data Min. 7(2): 41-62 (2014) - [c9]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Anomaly detection based on indicators aggregation. IJCNN 2014: 2548-2555 - [c8]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. ICDM 2014: 144-158 - [c7]Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille:
Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring. WSOM 2014: 145-155 - [i3]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Anomaly Detection Based on Indicator Aggregation. CoRR abs/1407.0880 (2014) - [i2]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. CoRR abs/1408.6214 (2014) - [i1]Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi:
Anomaly Detection Based on Indicators Aggregation. CoRR abs/1409.4747 (2014) - 2013
- [j2]Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille:
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA. Adv. Data Anal. Classif. 7(3): 281-300 (2013) - 2012
- [c6]Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille:
Robust clustering of high-dimensional data. ESANN 2012 - 2011
- [c5]Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille:
Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance. WSOM 2011: 298-307 - 2010
- [c4]Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille:
Self Organizing Star (SOS) for health monitoring. ESANN 2010 - [c3]Aurélien Hazan, Michel Verleysen, Marie Cottrell, Jérôme Lacaille:
Trajectory Clustering for Vibration Detection in Aircraft Engines. ICDM 2010: 362-375 - [c2]Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille:
Aircraft Engine Health Monitoring Using Self-Organizing Maps. ICDM 2010: 405-417
2000 – 2009
- 2009
- [c1]Marie Cottrell, Patrice Gaubert, Cédric Eloy, Damien François, Geoffroy Hallaux, Jérôme Lacaille, Michel Verleysen:
Fault Prediction in Aircraft Engines Using Self-Organizing Maps. WSOM 2009: 37-44
1990 – 1999
- 1998
- [j1]Jérôme Lacaille:
Synchronization of Multivariate Captors with an Autoadaptive Neural Method. J. Intell. Robotic Syst. 21(2): 155-165 (1998)
Coauthor Index
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last updated on 2024-10-21 21:31 CEST by the dblp team
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