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Anestis Tsakmalis

3 papers hereh-index 9287 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SP2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedTest Selection for Deep Learning Systems

8 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SP2019

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…

cs.LG2019★ 8 cited

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…

eess.SP2019

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.