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 | 335 | 2011 |
Parallel differential evolution DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004 | 285 | 2004 |
Computing Nash equilibria through computational intelligence methods NG Pavlidis, KE Parsopoulos, MN Vrahatis Journal of Computational and Applied Mathematics 175 (1), 113-136, 2005 | 156 | 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 | 137 | 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 | 134 | 2005 |
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 | 61 | 2012 |
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 | 54 | 2003 |
Adaptive consumer credit classification NG Pavlidis, DK Tasoulis, NM Adams, DJ Hand Journal of the Operational Research Society 63 (12), 1645-1654, 2012 | 51 | 2012 |
λ‐Perceptron: An adaptive classifier for data streams NG Pavlidis, DK Tasoulis, NM Adams, DJ Hand Pattern Recognition 44 (1), 78-96, 2011 | 50 | 2011 |
Financial forecasting through unsupervised clustering and neural networks NG Pavlidis, VP Plagianakos, DK Tasoulis, MN Vrahatis Operational Research 6 (2), 103-127, 2006 | 49 | 2006 |
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 | 40 | 2006 |
Urinary bladder tumor grade diagnosis using on-line trained neural networks DK Tasoulis, P Spyridonos, NG Pavlidis, D Cavouras, P Ravazoula, ... International Conference on Knowledge-Based and Intelligent Information and …, 2003 | 39 | 2003 |
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 | 38 | 2004 |
Simulation studies of multi-armed bandits with covariates NG Pavlidis, DK Tasoulis, DJ Hand Tenth International Conference on Computer Modeling and Simulation (uksim …, 2008 | 29 | 2008 |
Minimum Density Hyperplanes NG Pavlidis, DP Hofmeyr, SK Tasoulis Journal of Machine Learning Research 17 (156), 1-33, 2016 | 25 | 2016 |
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 | 23 | 2006 |
Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction. NG Pavlidis, DK Tasoulis, MN Vrahatis Computational Intelligence 5, 456-461, 2005 | 16 | 2005 |
The Effect of Recovery Algorithms on Compressive Sensing Background Subtraction R Davies, L Mihaylova, NG Pavlidis, I Eckley 8th Workshop on Sensor Data Fusion: Trends, Solutions, and Applications (SDF), 2013 | 13 | 2013 |
Maximum Clusterability Divisive Clustering DP Hofmeyr, NG Pavlidis Computational Intelligence, 2015 IEEE Symposium Series on, 780-786, 2015 | 12 | 2015 |