Sid Ali Hamideche

According to our database, Sid Ali Hamideche authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Federated Representation Learning for Encrypted Application Type Classification in Beyond 5G RAN.

Sid Ali Hamideche, Marie-Line Alberi-Morel, Kamal Singh, César Viho

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

2024

Machine learning for mobile network user behavior detection in 5G networks and beyond : environment and application classification. (Apprentissage automatique appliqué à l'identification du comportement des utilisateurs de réseaux mobiles 5G et au-delà : classification de l'environnement et de l'application).

Sid Ali Hamideche

PhD thesis, 2024

User Environment Detection Using Long Short-Term Memory Autoencoder.

Karthika Satheesh, Kamal Deep Singh, Sid Ali Hamideche, Marie-Line Alberi-Morel, César Viho

Proceedings of the International Symposium on Networks, Computers and Communications, 2024

2023

Classification with Synthetic Radio Data for Real-life Environment Sensing.

Soumeya Kaada, Sid Ali Hamideche, Chloe Daems, Marie-Line Alberi-Morel

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Federated Representation Learning for Indoor-Outdoor Detection in Beyond 5G Networks.

Sid Ali Hamideche, Marie-Line Alberi-Morel, Kamal Deep Singh, César Viho

Proceedings of the IEEE Globecom Workshops 2023, 2023

2022

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

Indoor-Outdoor Detection using Time Series Classification and User Behavioral Cognition.

Sid Ali Hamideche, Marie-Line Alberi-Morel, Kamal Deep Singh, César Viho

Proceedings of the 14th IFIP Wireless and Mobile Networking Conference, 2022

2019

Self-supervised classification of dynamic obstacles using the temporal information provided by videos.

Sid Ali Hamideche, Florent Chiaroni, Mohamed-Cherif Rahal

CoRR, 2019