Improved Video QoE in Wireless Networks Using Deep Reinforcement Learning. - Henrique D. Moura; Júnia Maísa Oliveira; Daniel Soares 001; Daniel F. Macedo; Marcos A. M. Vieira (CNSM, 2023)

Transfer Learning-Based QoE Estimation For Different Cloud Gaming Contexts. - Marcos Carvalho; Daniel Soares 001; Daniel F. Macedo (NetSoft, 2023)

A Stacking Learning-Based QoE Model for Cloud Gaming. - Daniel Soares 001; Marcos Carvalho; Daniel F. Macedo (NOMS, 2023)

A Human-in-the-Loop Based ML Framework to Estimate User's QoE on Cloud Gaming Using Active Learning. - Marcos Carvalho; Daniel Soares 001; Daniel F. Macedo (EuCNC/6G Summit, 2024)

Enhancing Cloud Gaming QoE Estimation by Stacking Learning. - Daniel Soares 001; Marcos Carvalho; Daniel F. Macedo (J. Netw. Syst. Manag., 2024)

QoE Estimation Across Different Cloud Gaming Services Using Transfer Learning. - Marcos Carvalho; Daniel Soares 001; Daniel Fernandes Macedo (IEEE Trans. Netw. Serv. Manag., 2024)

Characterizing the Network Traffic of Virtual Reality Cloud Gaming Applications. - Vinicius R. Oliveira; Daniel Henriques C. M. Soares; Daniel F. Macedo (WONS, 2026)