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ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring.

S. Wassermann, T. Cuvelier, P. Mulinka, and P. Casas. CNSM, page 1-9. IEEE, (2019)

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Nabil Sarah

Eberhard Wassermann

Günter Wassermann

Gisela Waßermann

Bernd Wassermann

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Unveiling network and service performance degradation in the wild with mplane.P. Casas, P. Fiadino, S. Wassermann, S. Traverso, A. D'Alconzo, E. Tego, F. Matera, and M. Mellia. IEEE Communications Magazine, 54 (3): 71-79 (2016)Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video StreamingS. Wassermann, M. Seufert, P. Casas, G. Li, and L. Kuang. (June 2019)Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming.S. Wassermann, M. Seufert, P. Casas, L. Gang, and K. Li. TMA, page 199-200. IEEE, (2019)ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring.S. Wassermann, T. Cuvelier, P. Mulinka, and P. Casas. CNSM, page 1-9. IEEE, (2019)Considering User Behavior in the Quality of Experience Cycle: Towards Proactive QoE-aware Traffic ManagementM. Seufert, S. Wassermann, and P. Casas. IEEE Communications Letters, 23 (7): 1145-1148 (July 2019)Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones.S. Wassermann, N. Wehner, and P. Casas. SIGMETRICS Perform. Evaluation Rev., 46 (3): 155-158 (2018)Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic.S. Wassermann, P. Casas, Z. Ben-Houidi, A. Huet, M. Seufert, N. Wehner, J. Schüler, S. Cai, H. Shi, J. Xu and 2 other author(s). CNSM, page 1-9. IEEE, (2020)Mobile Web and App QoE Monitoring for ISPs - from Encrypted Traffic to Speed Index through Machine Learning.P. Casas, S. Wassermann, N. Wehner, M. Seufert, J. Schüler, and T. Hossfeld. WMNC, page 40-47. IEEE, (2021)RAL: reinforcement active learning for network traffic monitoring and analysis.S. Wassermann, T. Cuvelier, and P. Casas. SIGCOMM Posters and Demos, page 55-56. ACM, (2020)NETPerfTrace: Predicting Internet Path Dynamics and Performance with Machine Learning.S. Wassermann, P. Casas, T. Cuvelier, and B. Donnet. Big-DAMA@SIGCOMM, page 31-36. ACM, (2017)

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Disambiguation of "Wassermann, Sarah"

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ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring.

Please choose a person to relate this publication to

Nabil Sarah

Eberhard Wassermann

Günter Wassermann

Gisela Waßermann

Bernd Wassermann

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wassermann, Sarah"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring.

Please choose a person to relate this publication to

Nabil Sarah

Eberhard Wassermann

Günter Wassermann

Gisela Waßermann

Bernd Wassermann

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring.