Vasileios L. Georgiou

Evolutionary Adaptive Schemes of Probabilistic Neural Networks

Nicos G. Pavlidis, Michael N. Vrahatis, Konstantinos E. Parsopoulos, 2019, International Conference of Computational Methods in Sciences and Engineering 2004 (ICCMSE 2004).

Incorporating Fuzzy Membership Functions into Evolutionary Probabilistic Neural Networks

Michael N. Vrahatis, Vasileios L. Georgiou, D. Alevizos, 2019, Recent Progress in Computational Sciences and Engineering.

Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks

Michael N. Vrahatis, Konstantinos E. Parsopoulos, Sonia Malefaki, 2009, LION.

Fuzzy Evolutionary Probabilistic Neural Networks

Michael N. Vrahatis, Vasileios L. Georgiou, Philipos D. Alevizos, 2008, ANNPR.

Novel Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary Estimating of Prior Probabilities

Michael N. Vrahatis, Vasileios L. Georgiou, Philipos D. Alevizos, 2008, Neural Processing Letters.

Evolutionary Bayesian Probabilistic Neural Networks

Michael N. Vrahatis, Sonia Malefaki, Vasileios L. Georgiou, 2006 .

Optimizing the Performance of Probabilistic Neural Networks in a BioinformaticsTa sk

Nicos G. Pavlidis, Michael N. Vrahatis, Vasileios L. Georgiou, 2004 .

New Self-adaptive Probabilistic Neural Networks in Bioinformatic and Medical Tasks

Nicos G. Pavlidis, Michael N. Vrahatis, Konstantinos E. Parsopoulos, 2006, Int. J. Artif. Intell. Tools.

A Mixed Precision Randomized Preconditioner for the LSQR Solver on GPUs

Vasileios L. Georgiou, H. Anzt, P. Drineas, 2023, ISC.

Performance measures of clustering algorithms in retail industry

Vasileios L. Georgiou, 2017 .