Joaquin Derrac Rus

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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainDirección de correo verificada de decsai.ugr.es
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Dirección de correo verificada de decsai.ugr.es
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data ScienceDirección de correo verificada de nottingham.ac.uk
Daniel Molina CabreraComputer Science, Granada UniversityDirección de correo verificada de decsai.ugr.es
Julián Luengo MartínAssociate Professor at University of GranadaDirección de correo verificada de decsai.ugr.es
Chris CornelisAssociate professor, Ghent UniversityDirección de correo verificada de ugent.be
José Ramón Cano De AmoUniversity of JaenDirección de correo verificada de ujaen.es
Carlos Lopez-MolinaUniversidad Publica de NavarraDirección de correo verificada de unavarra.es
Daniel PeraltaPostdoctoral researcher - Doctor Assistant, Department of Information Technology. Ghent UniversityDirección de correo verificada de ugent.be
Edurne BarrenecheaAssociate professor of Computer Science, Universidad Publica de NavarraDirección de correo verificada de unavarra.es
Humberto BustinceProfessor of Computer Science, Universidad Publica de NavarraDirección de correo verificada de unavarra.es
Jose M. BenitezFull Professor, Universidad de GranadaDirección de correo verificada de decsai.ugr.es
Mikel GalarAssociate Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraDirección de correo verificada de unavarra.es
Cristóbal J CarmonaFull Professor at University of JaenDirección de correo verificada de ujaen.es
Steven SchockaertCardiff UniversityDirección de correo verificada de cs.cardiff.ac.uk
R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UKDirección de correo verificada de qu.edu.qa
Daniel PaternainDepartment of Statistics, Computer Science and MathematicsDirección de correo verificada de unavarra.es
Miguel PagolaUniversidad Pública de NavarraDirección de correo verificada de unavarra.es
Alberto Fernández HilarioFull Professor of Computer Science and Artificial Intelligence, University of GranadaDirección de correo verificada de decsai.ugr.es
Jesus Alcala-FdezFull Professor of Computer Science and Artificial Intelligence, University of GranadaDirección de correo verificada de decsai.ugr.es

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Joaquin Derrac Rus

Data Scientist

Dirección de correo verificada de gresearch.co.uk - Página principal

Soft Computing Evolutionary Algorithms Data Mining Machine Learning Artificial Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms J Derrac, S García, D Molina, F Herrera Swarm and Evolutionary Computation 1 (1), 3-18, 2011	5193	2011
Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework J Alcalá, A Fernández, J Luengo, J Derrac, S García, L Sánchez, ... Journal of Multiple-Valued Logic and Soft Computing 17 (2-3), 255-287, 2011	2924*	2011
Prototype selection for nearest neighbor classification: Taxonomy and empirical study S Garcıa, J Derrac, JR Cano, F Herrera IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (3), 417-435, 2012	814	2012
A taxonomy and experimental study on prototype generation for nearest neighbor classification I Triguero, J Derrac, S Garcia, F Herrera Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE …, 2012	336	2012
Evolutionary-based selection of generalized instances for imbalanced classification S Garcia, J Derrac, I Triguero, CJ Carmona, F Herrera Knowledge Based Systems 25 (1), 3-12, 2012	171	2012
Analyzing convergence performance of evolutionary algorithms: A statistical approach J Derrac, S García, S Hui, PN Suganthan, F Herrera Information Sciences 289, 41-58, 2014	156	2014
Enhancing Evolutionary Instance Selection Algorithms by means of Fuzzy Rough Set based Feature Selection J Derrac, C Cornelis, S García, F Herrera Information Sciences 186 (1), 73-92, 2012	147	2012
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects J Derrac, S García, F Herrera Information Sciences 260, 98-119, 2014	139	2014
IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule J Derrac, S García, F Herrera Pattern Recognition 43 (6), 2082-2105, 2010	128	2010
A survey on evolutionary instance selection and generation J Derrac, S García, F Herrera International Journal of Applied Metaheuristic Computing 1 (1), 60-92, 2010	98	2010
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, ... Knowledge-based systems 81, 76-97, 2015	95	2015
Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets J Derrac, F Chiclana, S García, F Herrera Information Sciences 329, 144-163, 2016	91	2016
A first study on the use of coevolutionary algorithms for instance and feature selection J Derrac, S García, F Herrera Proceedings of the Fourth International Conference on Hybrid Artificial …, 2009	85	2009
Inducing semantic relations from conceptual spaces: A data-driven approach to plausible reasoning J Derrac, S Schockaert Artificial Intelligence 228, 66-94, 2015	84	2015
Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms J Derrac, I Triguero, S García, F Herrera IEEE Transactions on Systems, Man, and Cybernetics, 2012	72	2012
A survey of fingerprint classification part II: experimental analysis and ensemble proposal M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, ... Knowledge-Based Systems 81, 98-116, 2015	61	2015
Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis N Verbiest, J Derrac, C Cornelis, S García, F Herrera Applied Soft Computing 38, 10-22, 2016	52	2016
On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection J Derrac, N Verbiest, S García, C Cornelis, F Herrera Soft Computing 17, 223-238, 2013	42	2013
Stratified prototype selection based on a steady-state memetic algorithm: a study of scalability J Derrac, S García, F Herrera Memetic Computing 2 (3), 183-199, 2010	42	2010
Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers JA Sáez, J Derrac, J Luengo, F Herrera Pattern Recognition 47 (12), 3941-3948, 2014	41	2014

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