| Intent-based control loop for dash video service assurance using ml-based edge qoe estimation CE Rothenberg, DAL Perez, NFS de Sousa, RV Rosa, RU Mustafa, ... 2020 6th IEEE conference on network softwarization (NetSoft), 353-355, 2020 | 23 | 2020 |
| Machine Learning-Assisted Closed-Control Loops for Beyond 5G Multi-Domain Zero-Touch Networks NFS de Sousa, MT Islam, RU Mustafa, DAL Perez, CE Rothenberg, ... Journal of Network and Systems Management 30 (3), 2022 | 12 | 2022 |
| DASH QoE performance evaluation framework with 5G datasets RU Mustafa, MT Islam, C Rothenberg, S Ferlin, D Raca, JJ Quinlan 2020 16th International Conference on Network and Service Management (CNSM), 1-6, 2020 | 7 | 2020 |
| Predicting XR Services QoE with ML: Insights from In-band Encrypted QoS Features in 360-VR MT Islam, CE Rothenberg, PH Gomes 9th IEEE International Conference on Network Softwarization, 2023 | 5 | 2023 |
| EFFECTOR: DASH QoE and QoS Evaluation Framework For EnCrypTed videO tRaffic RU Mustafa, MT Islam, C Rothenberg, PH Gomes IEEE/IFIP Network Operations and Management Symposium, 2023 | 4 | 2023 |
| HAS Based Empirical QoE Study over TCP and QUIC on Diverse Networks MT Islam, CE Rothenberg VII Workshop Pré-IETF (WPIETF) 2020, 2020 | 1 | 2020 |
| A Predictive DASH QoE Approach Based on Machine Learning at Multi-access Edge Computing MT Islam University of Campinas (UNICAMP), 2021 | | 2021 |
