| Vicrypt to the rescue: Real-time, machine-learning-driven video-qoe monitoring for encrypted streaming traffic S Wassermann, M Seufert, P Casas, L Gang, K Li IEEE Transactions on Network and Service Management 17 (4), 2007-2023, 2020 | 63 | 2020 |
| 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 | 38 | 2018 |
| 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 | 37 | 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, K Li 2019 Network Traffic Measurement and Analysis Conference (TMA), 199-200, 2019 | 30 | 2019 |
| 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 | 29 | 2016 |
| 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 | 25 | 2017 |
| Ral-improving stream-based active learning by reinforcement learning S Wassermann, T Cuvelier, P Casas European Conference on Machine Learning and Principles and Practice of …, 2019 | 23 | 2019 |
| 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 | 20 | 2019 |
| Adaptive and reinforcement learning approaches for online network monitoring and analysis S Wassermann, T Cuvelier, P Mulinka, P Casas IEEE Transactions on Network and Service Management 18 (2), 1832-1849, 2020 | 17 | 2020 |
| 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 | 16 | 2019 |
| Predicting Internet Path Dynamics and Performance with Machine Learning S Wassermann, P Casas, T Cuvelier, B Donnet | 16* | 2017 |
| Improving web qoe monitoring for encrypted network traffic through time series modeling N Wehner, M Seufert, J Schuler, S Wassermann, P Casas, T Hossfeld ACM SIGMETRICS Performance Evaluation Review 48 (4), 37-40, 2021 | 12 | 2021 |
| Are you on mobile or desktop? on the impact of end-user device on web qoe inference from encrypted traffic S Wassermann, P Casas, ZB Houidi, A Huet, M Seufert, N Wehner, ... 2020 16th International Conference on Network and Service Management (CNSM), 1-9, 2020 | 9 | 2020 |
| 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 | 9 | 2018 |
| 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 | 9 | 2016 |
| Not all web pages are born the same content tailored learning for web qoe inference P Casas, S Wassermann, N Wehner, M Seufert, T Hossfeld 2022 IEEE International Symposium on Measurements & Networking (M&N), 1-6, 2022 | 8 | 2022 |
| ADAM & RAL: Adaptive memory learning and reinforcement active learning for network monitoring S Wassermann, T Cuvelier, P Mulinka, P Casas 2019 15th International Conference on Network and Service Management (CNSM), 1-9, 2019 | 8 | 2019 |
| 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, T Hossfeld 2021 13th IFIP Wireless and Mobile Networking Conference (WMNC), 40-47, 2021 | 7 | 2021 |
| 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 | 7 | 2019 |
| Remember the good, forget the bad, do it fast-continuous learning over streaming data P Mulinka, S Wassermann, G Marín, P Casas Continual Learning Workshop at NeurIPS 2018, 2018 | 7 | 2018 |
Pedro CasasSenior Scientist, Data Science & AI @AIT ViennaVerified email at ait.ac.at