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Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling

, , , , , and . ACM SIGMETRICS Performance Evaluation Review, 48 (4): 37-40 (March 2021)

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EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis., , and . CoRR, (2020)A Survey on Big Data for Network Traffic Monitoring and Analysis., , , , and . CoRR, (2020)A user perspective for end-to-end quality of service evaluation in multimedia networks., , , and . LANC, page 133-137. ACM, (2007)Modeling the YouTube stack: From packets to quality of experience, , , , , and . Computer Networks, (2016)Not all Web Pages are Born the Same. Content Tailored Learning for Web QoE Inference, , , , and . IEEE International Symposium on Measurements & Networking (M&N 2022), (July 2022)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). 16th International Conference on Network and Service Management (CNSM), Izmir, Turkey, (November 2020)I See What you See: Real Time Prediction of Video Quality from Encrypted Streaming Traffic, , , , and . 4th Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE), Los Cabos, Mexico, (October 2019)Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones, , and . ACM SIGMETRICS Performance Evaluation Review, 46 (3): 155-158 (January 2019)POSTER: (Semi)-Supervised Machine Learning Approaches for Network Security in High-Dimensional Network Data., , , , and . ACM Conference on Computer and Communications Security, page 1805-1807. ACM, (2016)Improving web QoE monitoring for encrypted network traffic through time series modeling, , , , , and . 2nd Workshop on AI in Networks and Distributed Systems (WAIN), (2020)