Jesus Alcala-Fdez

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Francisco HerreraProfessor Computer Science and AI, Granada University, SpainDirección de correo verificada de decsai.ugr.es
Rafael AlcaláFull Professor of Computer Science and Artificial Intelligence, University of GranadaDirección de correo verificada de decsai.ugr.es
Luciano SanchezProfessor of Computer Science, Oviedo UniversityDirección de correo verificada de uniovi.es
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Dirección de correo verificada de decsai.ugr.es
María José GactoUniversity of JaénDirección de correo verificada de ujaen.es
José OteroAssociate professor, Computer Science Department, Oviedo UniversityDirección de correo verificada de uniovi.es
Joaquin Derrac RusData ScientistDirección de correo verificada de gresearch.co.uk
María José Del Jesus DíazAssociate professor of Computer Science, University of JaénDirección de correo verificada de ujaen.es
Jose Maria Alonso Moral (ORCID: 000...Research Center on Intelligent Technologies (CITIUS) of University of Santiago de Compostela (USC)Dirección de correo verificada de usc.es
Alberto FernándezAssociate Professor in Computer Science and Artificial Intelligence, University of GranadaDirección de correo verificada de decsai.ugr.es
Oscar CordónProfessor, IEEE-IFSA Fellow, Natl. Computer Science Award. DaSCI Research Institute & DECSAI, UGRDirección de correo verificada de decsai.ugr.es
Diana Martín RodríguezUniversidad Tecnológica de la Habana, CUJAEDirección de correo verificada de ceis.cujae.edu.cu
Sebastián Ventura (ORCID: 0000-000...Professor of Computing and Artificial Intelligence, University of CordobaDirección de correo verificada de uco.es
Jorge CasillasFull Professor of Computer Science and Artificial Intelligence, University of GranadaDirección de correo verificada de decsai.ugr.es
Julián Luengo MartínAssociate Professor at University of GranadaDirección de correo verificada de decsai.ugr.es
Alejandro Rosete SuárezUniversidad Tecnológica de La Habana "José Antonio Echevería", CUJAEDirección de correo verificada de ceis.cujae.edu.cu
Cristobal RomeroFull Professor in University of Cordoba and member of KDIS Research GroupDirección de correo verificada de uco.es
Jaume BacarditReader in Machine Learning, Newcastle UniversityDirección de correo verificada de newcastle.ac.uk
Jose Manuel Soto HidalgoProfessor at University of GranadaDirección de correo verificada de ugr.es
Sergio González VázquezPhD on Information & Communications Technology. Department of Computer Science and ArtificialDirección de correo verificada de decsai.ugr.es

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Jesus Alcala-Fdez

Associate Professor of Computer Science and Artificial Intelligence, University of Granada

Dirección de correo verificada de decsai.ugr.es - Página principal

Association rules Evolutionary fuzzy systems Multiobjective learning Data Mining Software


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework J Alcala-Fdez, A Fernández, J Luengo, J Derrac, S García, L Sánchez, ... Journal of Multiple-Valued Logic and Soft Computing 17, 255-287, 2011	2629*	2011
KEEL: a software tool to assess evolutionary algorithms for data mining problems J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, ... Soft Computing 13, 307-318, 2009	1539	2009
A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning J Alcalá-Fdez, R Alcala, F Herrera IEEE Transactions on Fuzzy systems 19 (5), 857-872, 2011	396	2011
A consistency‐based procedure to estimate missing pairwise preference values S Alonso, F Chiclana, F Herrera, E Herrera‐Viedma, J Alcalá‐Fdez, ... International journal of intelligent systems 23 (2), 155-175, 2008	318	2008
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining I Triguero, S González, JM Moyano, S García, J Alcala-Fdez, J Luengo, ... International Journal of Computational Intelligence Systems 10, 1238-1249, 2017	230	2017
A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection R Alcalá, J Alcalá-Fdez, F Herrera Fuzzy Systems, IEEE Transactions on 15 (4), 616-635, 2007	225	2007
jFuzzyLogic: a robust and flexible Fuzzy-Logic inference system language implementation P Cingolani, J Alcala-Fdez 2012 IEEE International Conference on Fuzzy Systems, 1-8, 2012	221	2012
Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms J Alcalá-Fdez, R Alcalá, MJ Gacto, F Herrera Fuzzy Sets and Systems 160 (7), 905-921, 2009	219	2009
jFuzzyLogic: a java library to design fuzzy logic controllers according to the standard for fuzzy control programming P Cingolani, J Alcalá-Fdez International Journal of Computational Intelligence Systems 6 (sup1), 61-75, 2013	218	2013
Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation R Alcalá, J Alcalá-Fdez, F Herrera, J Otero International Journal of Approximate Reasoning 44 (1), 45-64, 2007	149	2007
A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems R Alcalá, MJ Gacto, F Herrera, J Alcalá-Fdez International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2007	148	2007
A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends and Prospects J Alcalá-Fdez, JM Alonso IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2015.2426212, 24 (1 …, 2016	121	2016
Hybrid learning models to get the interpretability–accuracy trade-off in fuzzy modeling R Alcalá, J Alcalá-Fdez, J Casillas, O Cordón, F Herrera Soft Computing 10, 717-734, 2006	113	2006
A new multiobjective evolutionary algorithm for mining a reduced set of interesting positive and negative quantitative association rules D Martin, A Rosete, J Alcalá-Fdez, F Herrera IEEE Transactions on Evolutionary Computation 18 (1), 54-69, 2013	111	2013
NICGAR: a Niching Genetic Algorithm to Mine a Diverse Set of Interesting Quantitative Association Rules D Martín, J Alcalá-Fdez, A Rosete, F Herrera Information Sciences, DOI: 10.1016/j.ins.2016.03.039 355356, 208-228, 2016	84	2016
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules D Martín, A Rosete, J Alcalá-Fdez, F Herrera Information Sciences 258, 1-28, 2014	79	2014
Local identification of prototypes for genetic learning of accurate TSK fuzzy rule‐based systems R Alcalá, J Alcalá‐Fdez, J Casillas, O Cordón, F Herrera International Journal of Intelligent Systems 22 (9), 909-941, 2007	78	2007
Rule base reduction and genetic tuning of fuzzy systems based on the linguistic 3-tuples representation R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera Soft Computing 11 (5), 401-419, 2007	71	2007
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera Applied Intelligence 31, 15-30, 2009	64	2009
Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems J Alcalá‐Fdez, F Herrera, F Márquez, A Peregrín International Journal of Intelligent Systems 22 (9), 1035-1064, 2007	62	2007

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