| 2026 | AIME | An Explainable Hybrid Framework for Automated Analysis of Bone Marrow Aspirates in Acute Myeloid Leukemia. | Valentin Andral, Jules Morata, Philippe Leleux, Pierre Brousset, Alban Canali, Jean-Baptiste Rieu, Sandrine Mouysset, Sarah Bertoli |
| 2026 | AIME | When More Data is Not Better: Physiological Drift Explains Transfer Learning Failure in Rare ICU Populations. | Michael Poette, Sandrine Mouysset, Daniel Ruiz, Jean-Marc Alliot, Fanny Vardon, Vincent Minville |
| 2026 | SAC | Towards a Machine Learning Approach to Capturing Applications' Footprint on Complex Hardware. | Cdric Cazanove, Benjamin Lesage, Frdric Boniol, Sandrine Mouysset, Jrme Ermont |
| 2024 | CBMS | Seadra : a fully customizable and user-friendly application for image annotation and segmentation. | Jules Morata, David Bernard, Kvin Cortacero, Clment Eloire, Mehdi Ech-Chouini, Emmanuelle Vigarios, Steven Ceccarel, Delphine Comtesse-Maret, Thomas Filleron, Sandrine Mouysset, Sylvain Cussat-Blanc |
| 2023 | ICCS | A Kernel Extension of the Ensemble Transform Kalman Filter. | Sophie Mauran, Sandrine Mouysset, Ehouarn Simon, Laurent Bertino |
| 2023 | MSWIM | DCH: A Deep Learning Approach To Universal Header Compression For The Internet of Things. | Fabien Meslet-Millet, Sandrine Mouysset, Emmanuel Chaput |
| 2022 | GLOBECOM | NeCSTGen: An approach for realistic network traffic generation using Deep Learning. | Fabien Meslet-Millet, Sandrine Mouysset, Emmanuel Chaput |
| 2021 | GLOBECOM | SPPNet: An Approach For Real-Time Encrypted Traffic Classification Using Deep Learning. | Fabien Meslet-Millet, Emmanuel Chaput, Sandrine Mouysset |
| 2021 | ICANN | DPWTE: A Deep Learning Approach to Survival Analysis Using a Parsimonious Mixture of Weibull Distributions. | Achraf Bennis, Sandrine Mouysset, Mathieu Serrurier |
| 2020 | PAKDD | Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis. | Achraf Bennis, Sandrine Mouysset, Mathieu Serrurier |
| 2019 | ETFA | Limiting over sampling to improve transmission schedulability in a mixed NoC/AFDX architecture. | Sandrine Mouysset, Jrme Ermont, Jean-Luc Scharbarg |
| 2018 | RTNS | Message scheduling to reduce AFDX jitter in a mixed NoC/AFDX architecture. | Jrme Ermont, Sandrine Mouysset, Jean-Luc Scharbarg, Christian Fraboul |
| 2016 | Interspeech | Inferring Phonemic Classes from CNN Activation Maps Using Clustering Techniques. | Thomas Pellegrini, Sandrine Mouysset |
| 2014 | CBMI | Symmetry-based alignment for 3D model retrieval. | Quoc-Viet Dang, Sandrine Mouysset, Graldine Morin |
| 2012 | PACBB | Parallel Spectral Clustering for the Segmentation of cDNA Microarray Images. | Sandrine Mouysset, Ronan Guivarch, Joseph Noailles, Daniel Ruiz |