Méthodes avancées pour une ingénierie WLAN multi-standards. (Advanced methods for multi-standard WLAN engineering). - Sylvain Allio (2007)

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 (VTC Spring, 2014)

Anomaly Prevision in Radio Access Networks Using Functional Data Analysis. - Yosra Ben Slimen; Sylvain Allio; Julien Jacques (GLOBECOM, 2017)

On Selected V2X Technology Components and Enablers from the 5GCAR Project. - Mikal Fallgran; Markus Dillinger; Zexian Li; Guillaume Vivier; Taimoor Abbas; Jesus Alonso-Zarate; Toktam Mahmoodi; Sylvain Allio; Tommy Svensson; Gábor Fodor 001 (BMSB, 2018)

Model-based co-clustering for functional data. - Yosra Ben Slimen; Sylvain Allio; Julien Jacques (Neurocomputing, 2018)

Multicast and Broadcast Enablers for High-Performing Cellular V2X Systems. - Mikael Fallgren; Taimoor Abbas; Sylvain Allio; Jesus Alonso-Zarate; Gábor Fodor 001; Laurent Gallo; Apostolos Kousaridas; Yilin Li 002; Zexian Li; Zhongfeng Li; Jian Luo 001; Toktam Mahmoodi; et al. (IEEE Trans. Broadcast., 2019)

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 (NOMS, 2020)

A Hybrid machine learning based model for congestion prediction in mobile networks. - Sara Kassan; Imed Hadj-Kacem; Sana Ben Jemaa; Sylvain Allio (PIMRC, 2022)

Co-clustering for binary and functional data. - Yosra Ben Slimen; Julien Jacques; Sylvain Allio (Commun. Stat. Simul. Comput., 2022)

Robustness Analysis of Hybrid Machine Learning Model for Anomaly Forecasting in Radio Access Networks. - Sara Kassan; Imed Hadj-Kacem; Sana Ben Jemaa; Sylvain Allio (ISCC, 2023)

Portability of Hybrid machine learning based model for anomaly forecasting in mobile networks. - Sara Kassan; Imed Hadj-Kacem; Sana Ben Jemaa; Sylvain Allio (VTC Fall, 2023)

Real-time route planning based on network coverage for connected vehicles. - Romain Stevens; Mario Bou Abboud; Maroua Drissi; Sylvain Allio (VTC2023-Spring, 2023)

Unsupervised Learning Approach for Network Traffic Classification. - Mario Bou Abboud; Oumaya Baala; Maroua Drissi; Sylvain Allio (IWCMC, 2024)

End-to-End Spatio-temporal Latency Prediction for Vehicular Applications. - Maroua Drissi; Sylvain Allio (IWCMC, 2024)

Residence Time Aware Client Selection in Federated Learning in Vehicular Network. - Selman Sezgin; Kahina Mokrani; Sylvain Allio; Nour-El-Houda Yellas (NOMS, 2024)

FIVADMI: A Framework for In-Vehicle Anomaly Detection by Monitoring and Isolation. - Khaled Mahbub; Antonio Nehme; Mohammad Patwary; Marc Lacoste; Sylvain Allio (Future Internet, 2024)

Gated Temporal-Graph Attention Networks for Large-Scale Cellular Traffic Volume Prediction. - Mario Bou Abboud; Oumaya Baala; Maroua Drissi; Sylvain Allio (IWCMC, 2025)