9 citations · 17 across the 4 of their papers we have counts for
5 papers
A Feature-Based Bayesian Method for Content Popularity Prediction in Edge-Caching Networks
Sajad Mehrizi, Anestis Tsakmalis, Symeon Chatzinotas +1
Edge-caching is recognized as an efficient technique for future wireless cellular networks to improve network capacity and user-perceived quality of experience. Due to the random c…
Test Selection for Deep Learning Systems
Wei Ma, Mike Papadakis, Anestis Tsakmalis +2
Testing of deep learning models is challenging due to the excessive number and complexity of computations involved. As a result, test data selection is performed manually and in an…
A Bayesian Poisson-Gaussian Process Model for Popularity Learning in Edge-Caching Networks
Sajad Mehrizi, Anestis Tsakmalis, Symeon Chatzinotas +1
Edge-caching is recognized as an efficient technique for future cellular networks to improve network capacity and user-perceived quality of experience. To enhance the performance o…
Constrained Bayesian Active Learning of Interference Channels in Cognitive Radio Networks
Anestis Tsakmalis, Symeon Chatzinotas, Björn Ottersten
In this paper, a sequential probing method for interference constraint learning is proposed to allow a centralized Cognitive Radio Network (CRN) accessing the frequency band of a P…
Centralized Power Control in Cognitive Radio Networks Using Modulation and Coding Classification Feedback
Anestis Tsakmalis, Symeon Chatzinotas, Björn Ottersten
In this paper, a centralized Power Control (PC) scheme and an interference channel learning method are jointly tackled to allow a Cognitive Radio Network (CRN) access to the freque…