Vassilis Plagianakos
Vassilis Plagianakos
Professor, Department of Computer Science and Biomedical Informatics, University of Thessaly, Greece
Email confirmado em dib.uth.gr - Página inicial
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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
3142011
Parallel differential evolution
DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis
Proceedings of the 2004 congress on evolutionary computation (IEEE Cat. No …, 2004
2652004
Stretching technique for obtaining global minimizers through particle swarm optimization
KE Parsopoulos, VP Plagianakos, GD Magoulas, MN Vrahatis
Proceedings of the Particle Swarm Optimization Workshop 29, 2001
2152001
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface
M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ...
Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006
175*2006
Objective function" stretching" to alleviate convergence to local minima
KE Parsopoulos, VP Plagianakos, GD Magoulas, MN Vrahatis
Nonlinear Analysis-Theory Methods and Applications 47 (5), 3419-3424, 2001
1532001
Vector evaluated differential evolution for multiobjective optimization
KE Parsopoulos, DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
1332004
Evolving cognitive and social experience in particle swarm optimization through differential evolution: a hybrid approach
MG Epitropakis, VP Plagianakos, MN Vrahatis
Information Sciences 216, 50-92, 2012
1282012
Improving the particle swarm optimizer by function “stretching”
KE Parsopoulos, VP Plagianakos, GD Magoulas, MN Vrahatis
Advances in Convex Analysis and Global Optimization, 445-457, 2001
1272001
Spiking neural network training using evolutionary algorithms
NG Pavlidis, OK Tasoulis, VP Plagianakos, G Nikiforidis, MN Vrahatis
Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005
1232005
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution
GD Magoulas, VP Plagianakos, MN Vrahatis
Applied Soft Computing 4 (4), 369-379, 2004
1222004
Convolutional neural networks for toxic comment classification
SV Georgakopoulos, SK Tasoulis, AG Vrahatis, VP Plagianakos
Proceedings of the 10th hellenic conference on artificial intelligence, 1-6, 2018
992018
Parallel evolutionary training algorithms for “hardware-friendly” neural networks
VP Plagianakos, MN Vrahatis
Natural Computing 1 (2), 307-322, 2002
992002
A review of major application areas of differential evolution
VP Plagianakos, DK Tasoulis, MN Vrahatis
Advances in differential evolution, 197-238, 2008
952008
Detecting and locating gastrointestinal anomalies using deep learning and iterative cluster unification
DK Iakovidis, SV Georgakopoulos, M Vasilakakis, A Koulaouzidis, ...
IEEE transactions on medical imaging 37 (10), 2196-2210, 2018
712018
Finding multiple global optima exploiting differential evolution's niching capability
MG Epitropakis, VP Plagianakos, MN Vrahatis
2011 IEEE Symposium on Differential Evolution (SDE), 1-8, 2011
662011
Training neural networks with threshold activation functions and constrained integer weights
VP Plagianakos, MN Vrahatis
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000
662000
Deterministic nonmonotone strategies for effective training of multilayer perceptrons
VP Plagianakos, GD Magoulas, MN Vrahatis
IEEE Transactions on Neural Networks 13 (6), 1268-1284, 2002
582002
Learning rate adaptation in stochastic gradient descent
VP Plagianakos, GD Magoulas, MN Vrahatis
Advances in convex analysis and global optimization, 433-444, 2001
562001
From linear to nonlinear iterative methods
MN Vrahatis, GD Magoulas, VP Plagianakos
Applied Numerical Mathematics 45 (1), 59-77, 2003
502003
Globally convergent algorithms with local learning rates
GD Magoulas, VP Plagianakos, MN Vrahatis
IEEE Transactions on Neural Networks 13 (3), 774-779, 2002
482002
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