| Enhancing differential evolution utilizing proximity-based mutation operators MG Epitropakis, DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis IEEE Transactions on Evolutionary Computation 15 (1), 99-119, 2011 | 372 | 2011 |
| Parallel differential evolution DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004 | 308 | 2004 |
| Spiking neural network training using evolutionary algorithms NG Pavlidis, DK Tasoulis, VP Plagianakos, G Nikiforidis, MN Vrahatis IEEE International Joint Conference on Neural Networks, IJCNN'05, 2005 4 …, 2005 | 161 | 2005 |
| Computing Nash equilibria through computational intelligence methods NG Pavlidis, KE Parsopoulos, MN Vrahatis Journal of Computational and Applied Mathematics 175 (1), 113-136, 2005 | 161 | 2005 |
| Vector evaluated differential evolution for multiobjective optimization. KE Parsopoulos, DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis IEEE Congress on Evolutionary Computation, 204-211, 2004 | 136 | 2004 |
| Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification C Anagnostopoulos, DK Tasoulis, NM Adams, NG Pavlidis, DJ Hand Statistical Analysis and Data Mining 5 (2), 139–166, 2012 | 73 | 2012 |
| Financial forecasting through unsupervised clustering and neural networks NG Pavlidis, VP Plagianakos, DK Tasoulis, MN Vrahatis Operational Research 6, 103-127, 2006 | 66 | 2006 |
| Financial forecasting through unsupervised clustering and evolutionary trained neural networks NG Pavlidis, DK Tasoulis, MN Vrahatis Congress on Evolutionary Computation, CEC'03, 2003. 4, 2314-2321 Vol. 4, 2003 | 59 | 2003 |
| Adaptive consumer credit classification NG Pavlidis, DK Tasoulis, NM Adams, DJ Hand Journal of the Operational Research Society 63 (12), 1645-1654, 2012 | 58 | 2012 |
| λ‐Perceptron: An adaptive classifier for data streams NG Pavlidis, DK Tasoulis, NM Adams, DJ Hand Pattern Recognition 44 (1), 78-96, 2011 | 54 | 2011 |
| Optimizing the performance of probabilistic neural networks in a bioinformatics task VL Georgiou, NG Pavlidis, KE Parsopoulos, PD Alevizos, MN Vrahatis Proceedings of the EUNITE 2004 conference, 34-40, 2004 | 43 | 2004 |
| New self-adaptive probabilistic neural networks in bioinformatic and medical tasks VL Georgiou, NG Pavlidis, KE Parsopoulos, PD Alevizos, MN Vrahatis International Journal on Artificial Intelligence Tools 15 (03), 371-396, 2006 | 42 | 2006 |
| Urinary bladder tumor grade diagnosis using on-line trained neural networks DK Tasoulis, P Spyridonos, NG Pavlidis, D Cavouras, P Ravazoula, ... Knowledge-Based Intelligent Information and Engineering Systems: 7th …, 2003 | 40 | 2003 |
| Nonlinear Dimensionality Reduction for Clustering S Tasoulis, NG Pavlidis, T Roos Pattern Recognition 107, 107508, 2020 | 37 | 2020 |
| Minimum Density Hyperplanes NG Pavlidis, DP Hofmeyr, SK Tasoulis Journal of Machine Learning Research 17 (156), 1-33, 2016 | 35 | 2016 |
| Simulation studies of multi-armed bandits with covariates NG Pavlidis, DK Tasoulis, DJ Hand Tenth International Conference on Computer Modeling and Simulation (uksim …, 2008 | 30 | 2008 |
| Computational intelligence methods for financial time series modeling NG Pavlidis, DK Tasoulis, VP Plagianakos, MN Vrahatis International Journal of Bifurcation and Chaos 16 (7), 2053-2062, 2006 | 25 | 2006 |
| Human designed vs. genetically programmed differential evolution operators NG Pavlidis, VP Plagianakos, DK Tasoulis, MN Vrahatis 2006 IEEE International Conference on Evolutionary Computation, 1880-1886, 2006 | 20 | 2006 |
| Determining the number of real roots of polynomials through neural networks B Mourrain, NG Pavlidis, DK Tasoulis, MN Vrahatis Computers & Mathematics with Applications 51 (3-4), 527-536, 2006 | 19 | 2006 |
| Robust function-on-function regression H Hullait, DS Leslie, NG Pavlidis, S King Technometrics 63 (3), 396-409, 2021 | 17 | 2021 |
Michael N. VrahatisDepartment of Mathematics, University of Patras, GreeceVerified email at upatras.gr
