Jérôme Lacaille

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 22

Top Topics

Naive Bayes Classifier

Anomaly Detection

Deep Architectures

Top Venues

PAKDD (Workshops)

Publications

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)
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 (2022)
Jean Coussirou, Thomas Vanaret, Jérôme Lacaille
Anomaly detections on the oil system of a turbofan engine by a neural autoencoder. ESANN (2022)
Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu
Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? ESANN (2021)
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) (2021)
Raphaël Langhendries, Jérôme Lacaille
Deep Learning Model for Context-Dependent Survival Analysis. ESANN (2021)
Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu
Sparse K-means for mixed data via group-sparse clustering. ESANN (2020)
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 (2020)
Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
A Survey and Implementation of Performance Metrics for Self-Organized Maps. CoRR (2020)
Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
An Invariance-guided Stability Criterion for Time Series Clustering Validation. ICPR (2020)
Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille
Deep Embedded SOM: joint representation learning and self-organization. ESANN (2019)
Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps. PAKDD (Workshops) (2019)
Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
Anomaly Detection for Bivariate Signals. IWANN (1) (2019)
Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
Detection of Abnormal Flights Using Fickle Instances in SOM Maps. WSOM+ (2019)
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)
Cynthia Faure, Madalina Olteanu, Jean-Marc Bardet, Jérôme Lacaille
Using self-organizing maps for clustering anc labelling aircraft engine data phases. WSOM (2017)
Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot
Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms. MLDM (2016)
Cynthia Faure, Jean-Marc Bardet, Madalina Olteanu, Jérôme Lacaille
Comparison of three algorithms for parametric change-point detection. ESANN (2016)
Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot
anomaly detection on spectrograms using data-driven and fixed dictionary representations. ESANN (2016)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. ESANN (2015)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. CoRR (2015)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. CoRR (2015)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. Trans. Mach. Learn. Data Min. 7 (2) (2014)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. CoRR (2014)
Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring. WSOM (2014)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Anomaly Detection Based on Indicator Aggregation. CoRR (2014)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Anomaly detection based on indicators aggregation. IJCNN (2014)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
Anomaly Detection Based on Indicators Aggregation. CoRR (2014)
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. ICDM (2014)
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) (2013)
Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
Robust clustering of high-dimensional data. ESANN (2012)
Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance. WSOM (2011)
Aurélien Hazan, Michel Verleysen, Marie Cottrell, Jérôme Lacaille
Trajectory Clustering for Vibration Detection in Aircraft Engines. ICDM (2010)
Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
Aircraft Engine Health Monitoring Using Self-Organizing Maps. ICDM (2010)
Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
Self Organizing Star (SOS) for health monitoring. ESANN (2010)
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)
Jérôme Lacaille
Synchronization of Multivariate Captors with an Autoadaptive Neural Method. J. Intell. Robotic Syst. 21 (2) (1998)