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Disambiguation of "Wehner, Nikolas"

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A Fair Share for All: TCP-Inspired Adaptation Logic for QoE Fairness Among Heterogeneous HTTP Adaptive Video Streaming Clients.

, , and . IEEE Trans. Network and Service Management, 16 (2): 475-488 (2019)

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Nikolas Waltscheff

Nikolas Papastavrou

Nikolas Jaspert

Nikolas Stihl

Nikolas Pomplun

 

Other publications of authors with the same name

Explainable Data-Driven QoE Modelling using XAI, , , and . 15th International Conference on Quality of Multimedia Experience (QoMEX), Ghent, Belgium, (June 2023)Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling, , , , , and . 2nd Workshop on AI in Networks and Distributed Systems (WAIN), Milan, Italy, (November 2020)Inferring Web QoE with Machine Learning from Encrypted Network Traffic. (Oct 8, 2020)Features that Matter: Feature Selection for On-line Stalling Prediction in Encrypted Video Streaming, , , , and . 2nd International Workshop on Network Intelligence (NI), Paris, France, (April 2019)Mobile Web and App QoE Monitoring for ISPs - from Encrypted Traffic to Speed Index through Machine Learning, , , , , and . 13th Wireless and Mobile Networking Conference (WMNC), Best Paper Award, Montreal, Canada (Virtual Conference), (October 2021)Automated Quality Evaluation of HTTP Adaptive Video Streaming with an Android App. University of Wuerzburg, (July 2015)Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling, , , , , and . ACM SIGMETRICS Performance Evaluation Review, 48 (4): 37-40 (March 2021)X-Ray Goggles for the ISP: Improving in-Network Web and App QoE Monitoring with Deep Learning, , , , , and . Network Traffic Measurement and Analysis Conference (TMA), (June 2022)Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling., , , , , and . SIGMETRICS Perform. Evaluation Rev., 48 (4): 37-40 (2021)How good is your mobile (web) surfing?: speed index inference from encrypted traffic., , , , , and . SIGCOMM Posters and Demos, page 35-36. ACM, (2020)