3 papers
cs.LG2025
Towards Green AI-Native Networks: Evaluation of Neural Circuit Policy for Estimating Energy Consumption of Base Stations
Selim Ickin, Shruti Bothe, Aman Raparia +2
Optimization of radio hardware and AI-based network management software yield significant energy savings in radio access networks. The execution of underlying Machine Learning (ML)…
cs.CV2020
Customized Video QoE Estimation with Algorithm-Agnostic Transfer Learning
Selim Ickin, Markus Fiedler, Konstantinos Vandikas
The development of QoE models by means of Machine Learning (ML) is challenging, amongst others due to small-size datasets, lack of diversity in user profiles in the source domain,…
cs.LG2019
Privacy Preserving QoE Modeling using Collaborative Learning
Selim Ickin, Konstantinos Vandikas, Markus Fiedler
Machine Learning based Quality of Experience (QoE) models potentially suffer from over-fitting due to limitations including low data volume, and limited participant profiles. This…