Jérôme Lacaille

45 papers A* 4B 15Journal 13Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Approximate full conformal prediction in an RKHS. CoRR Davidson Lova Razafindrakoto, Alain Celisse, Jérôme Lacaille
2025	—	`conf`	Density-based isolation forest. SSP Nathan Levêque, Emmanuel Frénod, Jérôme Lacaille, Audrey Poterie, François Septier, Mourad Yahia-Bacha
2025	—	`conf`	Génération en une seule passe de séries temporelles multivariées par modélisation multivariée conditionnelle. EGC Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2025	—	`conf`	Simulateur de moteurs d'avions. EGC Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2024	A*	`conf`	AESim: A Data-Driven Aircraft Engine Simulator. IJCAI Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2024	B	`conf`	Aeronautic data analysis. ESANN Jérôme Lacaille, Patrick Fabiani, Patricia Besson
2024	B	`conf`	From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics. ESANN Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2024	B	`conf`	One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling. IJCNN Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2023	—	`conf`	Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. PAKDD (1) Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2022	B	`conf`	Anomaly detections on the oil system of a turbofan engine by a neural autoencoder. ESANN Jean Coussirou, Thomas Vanaret, Jérôme Lacaille
2022	J	`jnl`	Transformer-based conditional generative adversarial network for multivariate time series generation. CoRR Abdellah Madane, Mohamed Djallel Dilmi, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2021	B	`conf`	Deep Learning Model for Context-Dependent Survival Analysis. ESANN Raphaël Langhendries, Jérôme Lacaille
2021	J	`jnl`	Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering. Neural Comput. Appl. Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille
2021	B	`conf`	Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? ESANN Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu
2020	J	`jnl`	A Survey and Implementation of Performance Metrics for Self-Organized Maps. CoRR Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2020	B	`conf`	An Invariance-guided Stability Criterion for Time Series Clustering Validation. ICPR Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2020	J	`jnl`	Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion. CoRR Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2020	B	`conf`	Sparse K-means for mixed data via group-sparse clustering. ESANN Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu
2019	—	`conf`	Anomaly Detection for Bivariate Signals. IWANN (1) Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
2019	—	`conf`	Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps. PAKDD (Workshops) Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2019	B	`conf`	Deep Embedded SOM: joint representation learning and self-organization. ESANN Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille
2019	—	`conf`	Detection of Abnormal Flights Using Fickle Instances in SOM Maps. WSOM+ Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
2018	—	`conf`	A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data. IEEE BigData Florent Forest, Jérôme Lacaille, Mustapha Lebbah, Hanene Azzag
2017	—	`conf`	Using self-organizing maps for clustering anc labelling aircraft engine data phases. WSOM Cynthia Faure, Madalina Olteanu, Jean-Marc Bardet, Jérôme Lacaille
2016	B	`conf`	Comparison of three algorithms for parametric change-point detection. ESANN Cynthia Faure, Jean-Marc Bardet, Madalina Olteanu, Jérôme Lacaille
2016	—	`conf`	Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms. MLDM Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot
2016	B	`conf`	anomaly detection on spectrograms using data-driven and fixed dictionary representations. ESANN Mina Abdel-Sayed, Daniel Duclos, Gilles Faÿ, Jérôme Lacaille, Mathilde Mougeot
2015	J	`jnl`	Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. CoRR Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2015	B	`conf`	Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. ESANN Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2015	J	`jnl`	Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. CoRR Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2014	A*	`conf`	A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. ICDM Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2014	J	`jnl`	A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation. CoRR Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2014	—	`conf`	Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring. WSOM Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
2014	J	`jnl`	Anomaly Detection Based on Indicator Aggregation. CoRR Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2014	J	`jnl`	Anomaly Detection Based on Indicators Aggregation. CoRR Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2014	B	`conf`	Anomaly detection based on indicators aggregation. IJCNN Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2014	J	`jnl`	Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation. Trans. Mach. Learn. Data Min. Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi
2013	J	`jnl`	Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA. Adv. Data Anal. Classif. Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
2012	B	`conf`	Robust clustering of high-dimensional data. ESANN Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
2011	—	`conf`	Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance. WSOM Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
2010	A*	`conf`	Aircraft Engine Health Monitoring Using Self-Organizing Maps. ICDM Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
2010	B	`conf`	Self Organizing Star (SOS) for health monitoring. ESANN Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
2010	A*	`conf`	Trajectory Clustering for Vibration Detection in Aircraft Engines. ICDM Aurélien Hazan, Michel Verleysen, Marie Cottrell, Jérôme Lacaille
2009	—	`conf`	Fault Prediction in Aircraft Engines Using Self-Organizing Maps. WSOM Marie Cottrell, Patrice Gaubert, Cédric Eloy, Damien François, Geoffroy Hallaux, Jérôme Lacaille, Michel Verleysen
1998	J	`jnl`	Synchronization of Multivariate Captors with an Autoadaptive Neural Method. J. Intell. Robotic Syst. Jérôme Lacaille