Rating Systems Vs Machine Learning on the context of sports. - George Kyriakides; Kyriacos Talattinis; George Stephanides (Panhellenic Conference on Informatics, 2014)

Towards automated neural design: an open source, distributed neural architecture research framework. - George Kyriakides; Konstantinos G. Margaritis (PCI, 2018)

Neural Architecture Search with Synchronous Advantage Actor-Critic Methods and Partial Training. - George Kyriakides; Konstantinos G. Margaritis (SETN, 2018)

Comparison of Neural Network Optimizers for Relative Ranking Retention Between Neural Architectures. - George Kyriakides; Konstantinos G. Margaritis (AIAI, 2019)

Forecasting Soccer Outcome Using Cost-Sensitive Models Oriented to Investment Opportunities. - Kyriacos Talattinis; George Kyriakides; E. Kapantai; George Stephanides (Int. J. Comput. Sci. Sport, 2019)

Regularized Evolution for Macro Neural Architecture Search. - George Kyriakides; Konstantinos G. Margaritis (AIAI (2), 2020)

An Introduction to Neural Architecture Search for Convolutional Networks. - George Kyriakides; Konstantinos G. Margaritis (CoRR, 2020)

The effect of reduced training in neural architecture search. - George Kyriakides; Konstantinos G. Margaritis (Neural Comput. Appl., 2020)

NORD: A python framework for Neural Architecture Search. - George Kyriakides; Konstantinos G. Margaritis (Softw. Impacts, 2020)

A Novel Evolutionary Algorithm for Hierarchical Neural Architecture Search. - Aristeidis Chrostoforidis; George Kyriakides; Konstantinos G. Margaritis (CoRR, 2021)

Evaluating Acceleration Techniques for Genetic Neural Architecture Search. - Foteini D. Dervisi; George Kyriakides; Konstantinos G. Margaritis (EANN, 2022)

The Effectiveness of Synchronous Data-parallel Differentiable Architecture Search. - George Kyriakides; Konstantinos G. Margaritis (EANN, 2022)

Evolving graph convolutional networks for neural architecture search. - George Kyriakides; Konstantinos G. Margaritis (Neural Comput. Appl., 2022)

Parallel and distributed methods for autonomous design of artificial neural networks - George Kyriakides (2022)