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YouTube all around: Characterizing YouTube from mobile and fixed-line network vantage points.

, , , , , and . EuCNC, page 1-5. IEEE, (2014)

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A Study of the Impact of DNS Resolvers on Performance Using a Causal Approach., , , , and . ITC, page 10-18. IEEE, (2015)Measuring and Troubleshooting the Internet: Algorithms, Tools and Applications., , , , and . IEEE J. Sel. Areas Commun., 34 (6): 1805-1806 (2016)A First Look at Anycast CDN Traffic., , , , , , and . CoRR, (2015)YouTube all around: Characterizing YouTube from mobile and fixed-line network vantage points., , , , , and . EuCNC, page 1-5. IEEE, (2014)Towards a systematic multi-modal representation learning for network data., , , , and . HotNets, page 181-187. ACM, (2022)Real-time deep learning based traffic analytics., , , and . SIGCOMM Posters and Demos, page 76-78. ACM, (2020)FENXI: Deep-learning Traffic Analytics at the edge., , , and . SEC, page 202-213. IEEE, (2021)Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation., , , , , and . IMC, page 36-51. ACM, (2023)Accelerating Deep Learning Classification with Error-controlled Approximate-key Caching., , , and . INFOCOM, page 2118-2127. IEEE, (2022)Stochastic Packet Inspection for TCP Traffic., , , , and . ICC, page 1-6. IEEE, (2010)