Sarah Wassermann
Sarah Wassermann
PhD Student in Electrical Engineering, AIT Austria / TU Wien
Verified email at wassermann.lu - Homepage
Title
Cited by
Cited by
Year
Unveiling network and service performance degradation in the wild with mplane
P Casas, P Fiadino, S Wassermann, S Traverso, A D'Alconzo, E Tego, ...
IEEE Communications Magazine 54 (3), 71-79, 2016
202016
Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones
S Wassermann, N Wehner, P Casas
Workshop on AI in Networks (WAIN) 2018, 2018
112018
Improving QoE prediction in mobile video through machine learning
P Casas, S Wassermann
2017 8th International Conference on the Network of the Future (NOF), 1-7, 2017
92017
Predicting Internet Path Dynamics and Performance with Machine Learning
S Wassermann, P Casas, T Cuvelier, B Donnet
9*2017
On the analysis of internet paths with disnetperf, a distributed paths performance analyzer
S Wassermann, P Casas, B Donnet, G Leduc, M Mellia
2016 IEEE 41st Conference on Local Computer Networks Workshops (LCN …, 2016
62016
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, K Li
2019 Network Traffic Measurement and Analysis Conference (TMA), 199-200, 2019
52019
Beauty is in the eye of the smartphone holder a data driven analysis of youtube mobile qoe
N Wehner, S Wassermann, P Casas, M Seufert, F Wamser
2018 14th International Conference on Network and Service Management (CNSM …, 2018
52018
On the analysis of YouTube QoE in cellular networks through in-smartphone measurements
S Wassermann, P Casas, M Seufert, F Wamser
2019 12th IFIP Wireless and Mobile Networking Conference (WMNC), 71-78, 2019
42019
Considering user behavior in the quality of experience cycle: Towards proactive QoE-aware traffic management
M Seufert, S Wassermann, P Casas
IEEE Communications Letters 23 (7), 1145-1148, 2019
42019
I see what you see: Real time prediction of video quality from encrypted streaming traffic
S Wassermann, M Seufert, P Casas, L Gang, K Li
Proceedings of the 4th Internet-QoE Workshop on QoE-based Analysis and …, 2019
32019
Lightweight, General Inference of Streaming Video Quality from Encrypted Traffic
F Bronzino, P Schmitt, S Ayoubi, N Feamster, R Teixeira, S Wassermann, ...
arXiv preprint arXiv:1901.05800, 2019
32019
Anycast on the Move: A Look at Mobile Anycast Performance
S Wassermann, JP Rula, FE Bustamante, P Casas
Network Traffic Measurement and Analysis Conference (TMA) 2018, 2018
32018
Towards DisNETPerf: a Distributed Internet Paths Performance Analyzer
S Wassermann, P Casas, B Donnet
ACM CoNEXT 2015 Student Workshop, 2015
22015
Remember the Good, Forget the Bad, do it Fast-Continuous Learning over Streaming Data
P Mulinka, S Wassermann, G Marín, P Casas
12018
Machine Learning based Prediction of Internet Path Dynamics
S Wassermann, P Casas, B Donnet
ACM CoNEXT Student Workshop: Irvine 12 décembre 2016, 2016
12016
How Good is your Mobile (Web) Surfing? Speed Index Inference from Encrypted Traffic
S Wassermann, P Casas, M Seufert, N Wehner, J Schuler, T Hossfeld
ACM SIGCOMM 2020 Posters, Demos, and Student Research Competition, 2020
2020
RAL-Reinforcement Active Learning for Network Traffic Monitoring and Analysis
S Wassermann, T Cuvelier, P Casas
ACM SIGCOMM 2020 Posters, Demos, and Student Research Competition, 2020
2020
Improving Stream-Based Active Learning with Reinforcement Learning
S Wassermann, T Cuvelier, P Casas
2019
Decrypting Video Quality from Encrypted Streaming Traffic
S Wassermann, P Casas
2019
ViCrypt: Real-time, Fine-grained Prediction of Video Quality from Encrypted Streaming Traffic
S Wassermann, M Seufert, P Casas, L Gang, K Li
2019
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