| 2026 | WoWMoM | Where Should Federated Learning Run? Design Rules for CCAM Cooperative Perception. | Mohamed Coulibaly, Lo Mendiboure, Hasna Aniss, Marc Lacoste, Sylvain Allio, Hugues Oudeville, Fabien Battello |
| 2025 | IWCMC | Gated Temporal-Graph Attention Networks for Large-Scale Cellular Traffic Volume Prediction. | Mario Bou Abboud, Oumaya Baala, Maroua Drissi, Sylvain Allio |
| 2024 | IWCMC | Unsupervised Learning Approach for Network Traffic Classification. | Mario Bou Abboud, Oumaya Baala, Maroua Drissi, Sylvain Allio |
| 2024 | IWCMC | End-to-End Spatio-temporal Latency Prediction for Vehicular Applications. | Maroua Drissi, Sylvain Allio |
| 2024 | NOMS | Residence Time Aware Client Selection in Federated Learning in Vehicular Network. | Selman Sezgin, Kahina Mokrani, Sylvain Allio, Nour-El-Houda Yellas |
| 2023 | ISCC | Robustness Analysis of Hybrid Machine Learning Model for Anomaly Forecasting in Radio Access Networks. | Sara Kassan, Imed Hadj-Kacem, Sana Ben Jemaa, Sylvain Allio |
| 2023 | VTC | Portability of Hybrid machine learning based model for anomaly forecasting in mobile networks. | Sara Kassan, Imed Hadj-Kacem, Sana Ben Jemaa, Sylvain Allio |
| 2023 | VTC | Real-time route planning based on network coverage for connected vehicles. | Romain Stevens, Mario Bou Abboud, Maroua Drissi, Sylvain Allio |
| 2022 | PIMRC | A Hybrid machine learning based model for congestion prediction in mobile networks. | Sara Kassan, Imed Hadj-Kacem, Sana Ben Jemaa, Sylvain Allio |
| 2020 | NOMS | Anomaly prediction in mobile networks : A data driven approach for machine learning algorithm selection. | Imed Hadj-Kacem, Sana Ben Jemaa, Sylvain Allio, Yosra Ben Slimen |
| 2017 | GLOBECOM | Anomaly Prevision in Radio Access Networks Using Functional Data Analysis. | Yosra Ben Slimen, Sylvain Allio, Julien Jacques |
| 2014 | VTC | A Use of Cellular Network Records to Sense the Impact of Urban Transit Systems Comfort on Users Route Choices. | Chloe Milion, Sylvain Allio, Vincent Aguilera |