| 2024 | IWCMC | Signal quality detection in mobile network based on synthetic vehicle location data generation using generative adversial neural networks. | Sara Kassan, Bechir Mnakri, Thierry Nagellen, Frdric Guyard, Tamara Tosic |
| 2023 | ICASSP | Learning Sparse auto-Encoders for Green AI image coding. | Cyprien Gille, Frdric Guyard, Marc Antonini, Michel Barlaud |
| 2023 | ICASSP | A New Semi-Supervised Classification Method Using a Supervised Autoencoder for Biomedical Applications. | Cyprien Gille, Frdric Guyard, Michel Barlaud |
| 2021 | ICASSP | Learning a Sparse Generative Non-Parametric Supervised Autoencoder. | Michel Barlaud, Frdric Guyard |
| 2020 | ICPR | Learning sparse deep neural networks using efficient structured projections on convex constraints for green AI. | Michel Barlaud, Frdric Guyard |
| 2020 | KDD | USAD: UnSupervised Anomaly Detection on Multivariate Time Series. | Julien Audibert, Pietro Michiardi, Frdric Guyard, Sbastien Marti, Maria A. Zuluaga |
| 2013 | GLOBECOM | Back to normal? Impact of temporally increasing network disturbances on QoE. | Junaid Shaikh, Markus Fiedler, Pangkaj Chandra Paul, Sebastian Egger, Frdric Guyard |
| 2006 | GLOBECOM | Detection and Comparison of RTP and Skype Traffic and Performance. | Jean-Laurent Costeux, Frdric Guyard, Anne-Marie Bustos |