George S. Androulakis

Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods

George D. Magoulas, Michael N. Vrahatis, George S. Androulakis, 1999, Neural Computation.

Estimating time series future optima using a steepest descent methodology as a backtracker

George S. Androulakis, Eleni G. Lisgara, G. Androulakis, 2008, 2008 International Multiconference on Computer Science and Information Technology.

Guiding iterative optimisation methods to a predefined kind of optima for unconstrained optimisation problems

George S. Androulakis, Theodoula N. Grapsa, Eirini I. Nikolopoulou, 2021, Int. J. Math. Model. Numer. Optimisation.

A sequential approach for unconstrained optimization via a partitioning technique

George S. Androulakis, Theodoula N. Grapsa, Christina D. Nikolakakou, 2015, Int. J. Comput. Math..

An examination of factors affecting bidders’ choice in electronic auctions

George S. Androulakis, Costantinos Rougeris, G. Androulakis, 2008, 2008 International Multiconference on Computer Science and Information Technology.

Performance Evaluation and Comparison of Multi-objective optimization Algorithms

Sotiris Kotsiantis, George S. Androulakis, Theodoula N. Grapsa, 2019, 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA).

Teachers' Certification on Basic Computer Skills

George S. Androulakis, Christos X. Christakoudis, Charalampos Zagouras, 2012, Int. J. Cyber Ethics Educ..

Effective Backpropagation Training with Variable Stepsize

George D. Magoulas, Michael N. Vrahatis, George S. Androulakis, 1997, Neural Networks.

An incorporation of trust region methods on LexOpt algorithm for unconstrained optimization

George S. Androulakis, Theodoula N. Grapsa, Christina D. Nikolakakou, 2015, Panhellenic Conference on Informatics.