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Nicos Pavlidis
Nicos Pavlidis
Verified email at lancaster.ac.uk
Title
Cited by
Cited by
Year
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
3352011
Parallel differential evolution
DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
2852004
Computing Nash equilibria through computational intelligence methods
NG Pavlidis, KE Parsopoulos, MN Vrahatis
Journal of Computational and Applied Mathematics 175 (1), 113-136, 2005
1562005
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
1372004
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
1342005
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
612012
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
542003
Adaptive consumer credit classification
NG Pavlidis, DK Tasoulis, NM Adams, DJ Hand
Journal of the Operational Research Society 63 (12), 1645-1654, 2012
512012
λ‐Perceptron: An adaptive classifier for data streams
NG Pavlidis, DK Tasoulis, NM Adams, DJ Hand
Pattern Recognition 44 (1), 78-96, 2011
502011
Financial forecasting through unsupervised clustering and neural networks
NG Pavlidis, VP Plagianakos, DK Tasoulis, MN Vrahatis
Operational Research 6 (2), 103-127, 2006
492006
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
402006
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
392003
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
382004
Simulation studies of multi-armed bandits with covariates
NG Pavlidis, DK Tasoulis, DJ Hand
Tenth International Conference on Computer Modeling and Simulation (uksim …, 2008
292008
Minimum Density Hyperplanes
NG Pavlidis, DP Hofmeyr, SK Tasoulis
Journal of Machine Learning Research 17 (156), 1-33, 2016
252016
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
252006
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
232006
Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction.
NG Pavlidis, DK Tasoulis, MN Vrahatis
Computational Intelligence 5, 456-461, 2005
162005
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
132013
Maximum Clusterability Divisive Clustering
DP Hofmeyr, NG Pavlidis
Computational Intelligence, 2015 IEEE Symposium Series on, 780-786, 2015
122015
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Articles 1–20