Machine Learning with partially labeled Data for Indoor Outdoor Detection. - Illyyne Saffar; Marie-Line Alberi-Morel; Kamal Deep Singh; César Viho (CCNC, 2019)

Deep Learning Based Speed Profiling for Mobile Users in 5G Cellular Networks. - Illyyne Saffar; Marie-Line Alberi-Morel; Kamal Deep Singh; César Viho (GLOBECOM, 2019)

Semi-Supervised Deep Learning-Based Methods for Indoor Outdoor Detection. - Illyyne Saffar; Marie-Line Alberi-Morel; Kamal Deep Singh; César Viho (ICC, 2019)

Mobile User Environment Detection using Deep Learning based Multi-Output Classification. - Illyyne Saffar; Marie-Line Alberi-Morel; Mohanned Amara; Kamal Deep Singh; César Viho (WMNC, 2019)

Multi-task Deep Learning based Environment and Mobility Detection for User Behavior Modeling. - Marie-Line Alberi-Morel; Illyyne Saffar; Kamal Deep Singh; César Viho (WiOpt, 2019)

Machine Learning to Infer User Behavior in 5G Autonomic Networks. (Apprentissage automatique pour déduire le comportement des utilisateurs dans les réseaux autonomes 5G). - Illyyne Saffar (2020)

Knothe-Rosenblatt transport for Unsupervised Domain Adaptation. - Aladin Virmaux; Illyyne Saffar; Jianfeng Zhang; Balázs Kégl (CoRR, 2021)

Improving User Environment Detection Using Context-Aware Multi-Task Deep Learning in Mobile Networks. - Marie-Line Alberi-Morel; Illyyne Saffar; Kamal Deep Singh; Sid Ali Hamideche; César Viho (IEEE Trans. Cogn. Commun. Netw., 2022)

ML-Based What-If Analysis to Mitigate Interference for 5G NR Non-Public Networks. - Aurélie Boisbunon; Illyyne Saffar; Jordi Biosca Caro; Junaid Ansari; Abdulrahman Alabbasi (ICC, 2024)

Deep unsupervised domain adaptation for time series classification: a benchmark. - Hassan Ismail Fawaz; Ganesh Del Grosso; Tanguy Kerdoncuff; Aurélie Boisbunon; Illyyne Saffar (Data Min. Knowl. Discov., 2025)