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Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic.

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Coverage and Capacity Optimization for 4G LTE Networks Using Differential Evolution., , , and . CCIS, page 640-645. IEEE, (2018)Deployable Models for Approximating Web QoE Metrics From Encrypted Traffic., , , , , , , and . IEEE Trans. Netw. Serv. Manag., 18 (3): 3336-3352 (2021)Human readable network troubleshooting based on anomaly detection and feature scoring., , and . Comput. Networks, (2022)Predicting 4G adoption with apache spark: A field experiment., , , , and . ISCIT, page 235-240. IEEE, (2016)Identifying Dissatisfied 4G Customers from Network Indicators: A Comparison between Complaint and Survey Data., , , and . Int. J. Interdiscip. Telecommun. Netw., 8 (1): 12-20 (2016)Rare Yet Popular: Evidence and Implications from Labeled Datasets for Network Anomaly Detection., , 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). 16th International Conference on Network and Service Management (CNSM), Izmir, Turkey, (November 2020)Demo Abstract: Explaining Web users' QoE with Factorization Machines., and . INFOCOM Workshops, page 945-946. IEEE, (2019)Revealing QoE of Web Users from Encrypted Network Traffic., , , , , , , and . Networking, page 28-36. IEEE, (2020)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)