Where Did My Packet Go? Real-Time Prediction of Losses in Networks. - Tailai Song; Dena Markudova; Gianluca Perna; Michela Meo (ICC, 2023)

BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications. - Tailai Song; Gianluca Perna; Paolo Garza; Michela Meo; Maurizio Matteo Munafò (CCNC, 2024)

Throughput Prediction in Real-Time Communications: Spotlight on Traffic Extremes. - Tailai Song; Paolo Garza; Michela Meo; Maurizio Matteo Munafò (ISCC, 2024)

Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications. - Tailai Song; Paolo Garza; Michela Meo; Maurizio Matteo Munafò (ISM, 2024)

Towards the Detection of Unobservable Losses in Real-Time Communications. - Tailai Song; Paolo Garza; Michela Meo; Maurizio Matteo Munafò (LANMAN, 2024)

High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era. - Tailai Song; David Lopez; Michela Meo; Nicola Piovesan; Daniela Renga (WCNC, 2024)

DeX: Deep learning-based throughput prediction for real-time communications with emphasis on traffic eXtremes. - Tailai Song; Paolo Garza; Michela Meo; Maurizio M. Munafò (Comput. Networks, 2024)

Do We Really Need Reference-Based Phishing Detection? Unleashing the Power of GNN. - Tailai Song; Pedro Casas; Michela Meo (TMA, 2025)

Packet Loss in Real-Time Communications: Can ML Tame Its Unpredictable Nature? - Tailai Song; Gianluca Perna; Paolo Garza; Michela Meo; Maurizio Matteo Munafò (IEEE Trans. Netw. Serv. Manag., 2025)