| 2025 | ESANN | Performance monitoring and wear comprehension through Neural Network. | Thomas Binet, Hanane Azzag, Mustapha Lebbah, Jrme Lacaille |
| 2024 | ESANN | Aeronautic data analysis. | Jrme Lacaille, Patrick Fabiani, Patricia Besson |
| 2024 | ESANN | From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics. | Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jrme Lacaille |
| 2024 | IJCAI | AESim: A Data-Driven Aircraft Engine Simulator. | Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jrme Lacaille |
| 2024 | IJCNN | One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling. | Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jrme Lacaille |
| 2023 | PAKDD | Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. | Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jrme Lacaille |
| 2022 | ESANN | Anomaly detections on the oil system of a turbofan engine by a neural autoencoder. | Jean Coussirou, Thomas Vanaret, Jrme Lacaille |
| 2021 | ESANN | Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? | Marie Chavent, Jrme Lacaille, Alex Mourer, Madalina Olteanu |
| 2021 | ESANN | Deep Learning Model for Context-Dependent Survival Analysis. | Raphal Langhendries, Jrme Lacaille |
| 2020 | ESANN | Sparse K-means for mixed data via group-sparse clustering. | Marie Chavent, Jrme Lacaille, Alex Mourer, Madalina Olteanu |
| 2020 | ICPR | An Invariance-guided Stability Criterion for Time Series Clustering Validation. | Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jrme Lacaille |
| 2019 | ESANN | Deep Embedded SOM: joint representation learning and self-organization. | Florent Forest, Mustapha Lebbah, Hanene Azzag, Jrme Lacaille |
| 2019 | IWANN | Anomaly Detection for Bivariate Signals. | Marie Cottrell, Cynthia Faure, Jrme Lacaille, Madalina Olteanu |
| 2019 | PAKDD | Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps. | Florent Forest, Mustapha Lebbah, Hanane Azzag, Jrme Lacaille |
| 2016 | ESANN | anomaly detection on spectrograms using data-driven and fixed dictionary representations. | Mina Abdel-Sayed, Daniel Duclos, Gilles Fa, Jrme Lacaille, Mathilde Mougeot |
| 2016 | ESANN | Comparison of three algorithms for parametric change-point detection. | Cynthia Faure, Jean-Marc Bardet, Madalina Olteanu, Jrme Lacaille |
| 2015 | ESANN | Search Strategies for Binary Feature Selection for a Naive Bayes Classifier. | Tsirizo Rabenoro, Jrme Lacaille, Marie Cottrell, Fabrice Rossi |
| 2014 | IJCNN | Anomaly detection based on indicators aggregation. | Tsirizo Rabenoro, Jrme Lacaille, Marie Cottrell, Fabrice Rossi |
| 2012 | ESANN | Robust clustering of high-dimensional data. | Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jrme Lacaille |
| 2010 | ESANN | Self Organizing Star (SOS) for health monitoring. | Etienne Cme, Marie Cottrell, Michel Verleysen, Jrme Lacaille |