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How are your apps doing? QoE inference and analysis in mobile devices

, , , , and . 2021 17th International Conference on Network and Service Management (CNSM), page 49--55. IEEE, (2021)

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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)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)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)