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Considering User Behavior in the Quality of Experience Cycle: Towards Proactive QoE-Aware Traffic Management.

, , and . IEEE Communications Letters, 23 (7): 1145-1148 (2019)

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Unveiling network and service performance degradation in the wild with mplane., , , , , , , and . IEEE Communications Magazine, 54 (3): 71-79 (2016)Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming, , , , and . (June 2019)ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring., , , and . CNSM, page 1-9. IEEE, (2019)Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming., , , , and . TMA, page 199-200. IEEE, (2019)Considering User Behavior in the Quality of Experience Cycle: Towards Proactive QoE-aware Traffic Management, , and . IEEE Communications Letters, 23 (7): 1145-1148 (July 2019)Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones., , and . SIGMETRICS Perform. Evaluation Rev., 46 (3): 155-158 (2018)Mobile Web and App QoE Monitoring for ISPs - from Encrypted Traffic to Speed Index through Machine Learning., , , , , and . WMNC, page 40-47. IEEE, (2021)RAL: reinforcement active learning for network traffic monitoring and analysis., , and . SIGCOMM Posters and Demos, page 55-56. ACM, (2020)Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic., , , , , , , , , and 2 other author(s). CNSM, page 1-9. IEEE, (2020)Improving QoE prediction in mobile video through machine learning., and . NOF, page 1-7. IEEE, (2017)