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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)Quality of Experience in Cloud services: Survey and measurements., and . Comput. Networks, (2014)Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks., , and . TMA, IFIP, (2016)DeepSec meets RawPower - Deep Learning for Detection of Network Attacks Using Raw Representations., , and . SIGMETRICS Perform. Evaluation Rev., 46 (3): 147-150 (2018)Two Decades of AI4NETS - AI/ML for Data Networks: Challenges & Research Directions.. NOMS, page 1-6. IEEE, (2020)White Paper on Crowdsourced Network and QoE Measurements - Definitions, Use Cases and Challenges., , , , , , , , , and 6 other author(s). CoRR, (2020)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)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)Preface on the 5th International Workshop on Traffic Measurements for Cybersecurity., , and . EuroS&P Workshops, page 521. IEEE, (2020)