| 2025 | AAAI | OneBatchPAM: A Fast and Frugal K-Medoids Algorithm. | Antoine de Mathelin, Nicolas Enrique Cecchi, Franois Deheeger, Mathilde Mougeot, Nicolas Vayatis |
| 2023 | ICCS | Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference. | Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphal Meunier, Christophe Millet, Mathilde Mougeot |
| 2023 | ICTAI | Personalized One-Shot Collaborative Learning. | Marie Garin, Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis |
| 2022 | ICANN | To Tree or Not to Tree? Assessing the Impact of Smoothing the Decision Boundaries. | Anthea Mrida, Argyris Kalogeratos, Mathilde Mougeot |
| 2022 | ICLR | Discrepancy-Based Active Learning for Domain Adaptation. | Antoine de Mathelin, Franois Deheeger, Mathilde Mougeot, Nicolas Vayatis |
| 2021 | ICTAI | Constrained prediction time random forests using equivalent trees and genetic programming: application to fall detection model embedding. | Mounir Atiq, Sergio Peignier, Mathilde Mougeot |
| 2021 | ICTAI | Adversarial Weighting for Domain Adaptation in Regression. | Antoine de Mathelin, Guillaume Richard, Franois Deheeger, Mathilde Mougeot, Nicolas Vayatis |
| 2019 | ICTAI | Transfer Learning on Decision Tree with Class Imbalance. | Ludovic Minvielle, Mounir Atiq, Sergio Peignier, Mathilde Mougeot |
| 2016 | ESANN | anomaly detection on spectrograms using data-driven and fixed dictionary representations. | Mina Abdel-Sayed, Daniel Duclos, Gilles Fa, Jrme Lacaille, Mathilde Mougeot |