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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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Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks., , and . TMA, IFIP, (2016)Two Decades of AI4NETS - AI/ML for Data Networks: Challenges & Research Directions.. NOMS, page 1-6. IEEE, (2020)DeepSec meets RawPower - Deep Learning for Detection of Network Attacks Using Raw Representations., , and . SIGMETRICS Perform. Evaluation Rev., 46 (3): 147-150 (2018)White Paper on Crowdsourced Network and QoE Measurements - Definitions, Use Cases and Challenges., , , , , , , , , and 6 other author(s). CoRR, (2020)Demystifying user-based active learning for network monitoring tasks, , , , and . (2023)Smart Active Sampling to enhance Quality Assurance Efficiency., , , , and . CoRR, (2022)YouTube all around: Characterizing YouTube from mobile and fixed-line network vantage points., , , , , and . EuCNC, page 1-5. IEEE, (2014)Diagnosing Device-Specific Anomalies in Cellular Networks., , , and . CoNEXT Student Workshop, page 18-20. ACM, (2014)Looking for Network Latency Clusters in the LAC Region., and . LANCOMM@SIGCOMM, page 10-12. ACM, (2016)On the use of Sub-Space Clustering & Evidence Accumulation for traffic analysis & classification., , and . IWCMC, page 1016-1021. IEEE, (2011)