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Benchmarking Class Incremental Learning in Deep Learning Traffic Classification.

, , , , , , , and . IEEE Trans. Netw. Serv. Manag., 21 (1): 51-69 (February 2024)

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Wi-CR: Human Action Counting and Recognition with Wi-Fi Signals., , , , , and . ICCCS, page 1-8. IEEE, (2019)Challenges and solution for measuring available bandwidth in software defined networks., , , , and . Comput. Commun., (2017)Benchmarking Class Incremental Learning in Deep Learning Traffic Classification., , , , , , , and . IEEE Trans. Netw. Serv. Manag., 21 (1): 51-69 (February 2024)Characterization and analysis of cloud-to-user latency: The case of Azure and AWS., , , , , and . Comput. Networks, (2021)A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification., , , , , , and . TMA, IFIP, (2021)Characterizing Cloud-to-User Latency as Perceived by AWS and Azure Users Spread over the Globe., , , , , and . GLOBECOM, page 1-6. IEEE, (2019)Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness., , , , , and . Comput. Secur., (May 2023)Active Techniques for Available Bandwidth Estimation: Comparison and Application., , , and . Data Traffic Monitoring and Analysis, volume 7754 of Lecture Notes in Computer Science, Springer, (2013)Monitoring Internet Censorship with UBICA., , , , , , and . TMA, volume 9053 of Lecture Notes in Computer Science, page 143-157. Springer, (2015)Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic., , , , , and . Comput. Networks, (2022)