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Features that Matter: Feature Selection for On-line Stalling Prediction in Encrypted Video Streaming

, , , , and . 2nd International Workshop on Network Intelligence (NI), Paris, France, (April 2019)

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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)White Paper on Crowdsourced Network and QoE Measurements - Definitions, Use Cases and Challenges., , , , , , , , , and 6 other author(s). CoRR, (2020)Two Decades of AI4NETS - AI/ML for Data Networks: Challenges & Research Directions.. NOMS, page 1-6. IEEE, (2020)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)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)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)