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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)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 . WAIN - Workshop on AI in Networks and Distributed Systems, Toulouse, France, (November 2018)Demystifying user-based active learning for network monitoring tasks, , , , and . (2023)Smart Active Sampling to enhance Quality Assurance Efficiency., , , , and . CoRR, (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). CNSM, page 1-9. IEEE, (2020)Understanding HTTP Traffic and CDN Behavior from the Eyes of a Mobile ISP., , and . PAM, volume 8362 of Lecture Notes in Computer Science, page 268-271. Springer, (2014)YouTube all around: Characterizing YouTube from mobile and fixed-line network vantage points., , , , , and . EuCNC, page 1-5. IEEE, (2014)Network security and anomaly detection with Big-DAMA, a big data analytics framework., , , , and . CloudNet, page 16-22. IEEE, (2017)