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

, , , , , and . 2nd Workshop on AI in Networks and Distributed Systems (WAIN), Milan, Italy, (November 2020)

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Looking for Network Latency Clusters in the LAC Region., and . LANCOMM@SIGCOMM, page 10-12. ACM, (2016)Diagnosing Device-Specific Anomalies in Cellular Networks., , , and . CoNEXT Student Workshop, page 18-20. ACM, (2014)Preface on the 5th International Workshop on Traffic Measurements for Cybersecurity., , and . EuroS&P Workshops, page 521. IEEE, (2020)Should I (re)Learn or Should I Go(on)?: Stream Machine Learning for Adaptive Defense against Network Attacks., , and . MTD@CCS, page 79-88. ACM, (2019)IP mining: Extracting knowledge from the dynamics of the Internet addressing space., , and . ITC, page 1-9. IEEE, (2013)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)On the use of Sub-Space Clustering & Evidence Accumulation for traffic analysis & classification., , and . IWCMC, page 1016-1021. IEEE, (2011)Detecting and diagnosing anomalies in cellular networks using Random Neural Networks., , , and . IWCMC, page 351-356. IEEE, (2016)YouTube all around: Characterizing YouTube from mobile and fixed-line network vantage points., , , , , and . EuCNC, page 1-5. IEEE, (2014)