Jérôme Lacaille

According to our database, Jérôme Lacaille authored at least 32 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion.

Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

Transformer-based conditional generative adversarial network for multivariate time series generation.

Abdellah Madane, Mohamed Djallel Dilmi, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille

CoRR, 2022

Anomaly detections on the oil system of a turbofan engine by a neural autoencoder.

Jean Coussirou, Thomas Vanaret, Jérôme Lacaille

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

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

Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille

Neural Comput. Appl., 2021

Deep Learning Model for Context-Dependent Survival Analysis.

Raphaël Langhendries, Jérôme Lacaille

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability?

Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

A Survey and Implementation of Performance Metrics for Self-Organized Maps.

Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille

CoRR, 2020

An Invariance-guided Stability Criterion for Time Series Clustering Validation.

Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Sparse K-means for mixed data via group-sparse clustering.

Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Detection of Abnormal Flights Using Fickle Instances in SOM Maps.

Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps.

Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Anomaly Detection for Bivariate Signals.

Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu

Proceedings of the Advances in Computational Intelligence, 2019

Deep Embedded SOM: joint representation learning and self-organization.

Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data.

Florent Forest, Jérôme Lacaille, Mustapha Lebbah, Hanene Azzag

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Using self-organizing maps for clustering anc labelling aircraft engine data phases.

Cynthia Faure, Madalina Olteanu, Jean-Marc Bardet, Jérôme Lacaille

Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

2016

Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms.

Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Comparison of three algorithms for parametric change-point detection.

Cynthia Faure, Jean-Marc Bardet, Madalina Olteanu, Jérôme Lacaille

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

anomaly detection on spectrograms using data-driven and fixed dictionary representations.

Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Search Strategies for Binary Feature Selection for a Naive Bayes Classifier.

Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation.

Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi

Trans. Mach. Learn. Data Min., 2014

Anomaly Detection Based on Indicator Aggregation.

Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi

CoRR, 2014

Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring.

Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation.

Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2014

Anomaly detection based on indicators aggregation.

Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA.

Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille

Adv. Data Anal. Classif., 2013

2012

Robust clustering of high-dimensional data.

Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance.

Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille

Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

2010

Trajectory Clustering for Vibration Detection in Aircraft Engines.

Aurélien Hazan, Michel Verleysen, Marie Cottrell, Jérôme Lacaille

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Aircraft Engine Health Monitoring Using Self-Organizing Maps.

Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Self Organizing Star (SOS) for health monitoring.

Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

Fault Prediction in Aircraft Engines Using Self-Organizing Maps.

Marie Cottrell, Patrice Gaubert, Cédric Eloy, Damien François, Geoffroy Hallaux, Jérôme Lacaille, Michel Verleysen

Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

1998

Synchronization of Multivariate Captors with an Autoadaptive Neural Method.

Jérôme Lacaille

J. Intell. Robotic Syst., 1998