Vassilis Plagianakos

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Michael N. Vrahatis (Greek: Μιχαήλ Ν...Professor, Department of Mathematics, University of Patras, GreeceEmail confirmado em math.upatras.gr
George D. MagoulasProfessor of Computer Science, University of London, Birkbeck CollegeEmail confirmado em dcs.bbk.ac.uk
Dimitris TasoulisSenior ResearcherEmail confirmado em wintoncapital.com
Sotiris TasoulisDepartment of Computer Science and Biomedical Informatics, University of Thessaly.Email confirmado em uth.gr
Ilias MaglogiannisProfessor Dept. of Digital Systems University of PiraeusEmail confirmado em unipi.gr
Spiros GeorgakopoulosUniversity of Thessaly, Department of MathematicsEmail confirmado em dib.uth.gr
Michael G. EpitropakisLecturer, Data Science Institute, Management Science, Lancaster UniversityEmail confirmado em lancaster.ac.uk
Nicos PavlidisLancaster UniversityEmail confirmado em lancaster.ac.uk
Aristidis G. VrahatisUniversity of ThesallyEmail confirmado em upatras.gr
Konstantinos ParsopoulosAssociate Professor, University of Ioannina, GreeceEmail confirmado em cse.uoi.gr
Doukas CharalamposAmazon Web ServicesEmail confirmado em amazon.de
K KottariPhD Student, University of Thessaly, Department of Computer Science and Biomedical InformaticsEmail confirmado em uth.gr
Dimitris IakovidisProfessor of Signal Processing and Medical Decision Support Systems, University of Thessaly, GreeceEmail confirmado em dib.uth.gr
Michael VasilakakisPostdoctoral Researcher, University of ThessalyEmail confirmado em uth.gr
Georgios N. DimitrakopoulosPost-doc researcher, University of PatrasEmail confirmado em upatras.gr
Parisis G. GallosMSc, PhD, Health Informatics Laboratory, National and Kapodistrian University of AthensEmail confirmado em nurs.uoa.gr
K GOURGOULIANISrespiratory medicine dept, University of ThessalyEmail confirmado em med.uth.gr
K DELIBASISDept. of Computer Science and Biomedical Informatics, Univ. of Thessaly

Vassilis Plagianakos

Professor, Department of Computer Science and Biomedical Informatics, University of Thessaly, Greece

Email confirmado em dib.uth.gr - Página inicial

Computational Intelligence Machine Learning Evolutionary Algorithms Data Mining Clustering


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	314	2011
Parallel differential evolution DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis Proceedings of the 2004 congress on evolutionary computation (IEEE Cat. No …, 2004	265	2004
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	215	2001
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	153	2001
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	133	2004
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	128	2012
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	127	2001
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	123	2005
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	122	2004
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	99	2018
Parallel evolutionary training algorithms for “hardware-friendly” neural networks VP Plagianakos, MN Vrahatis Natural Computing 1 (2), 307-322, 2002	99	2002
A review of major application areas of differential evolution VP Plagianakos, DK Tasoulis, MN Vrahatis Advances in differential evolution, 197-238, 2008	95	2008
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	71	2018
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	66	2011
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	66	2000
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	58	2002
Learning rate adaptation in stochastic gradient descent VP Plagianakos, GD Magoulas, MN Vrahatis Advances in convex analysis and global optimization, 433-444, 2001	56	2001
From linear to nonlinear iterative methods MN Vrahatis, GD Magoulas, VP Plagianakos Applied Numerical Mathematics 45 (1), 59-77, 2003	50	2003
Globally convergent algorithms with local learning rates GD Magoulas, VP Plagianakos, MN Vrahatis IEEE Transactions on Neural Networks 13 (3), 774-779, 2002	48	2002

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