2009 |
26 | EE | Alberto Fernández,
María José del Jesús,
Francisco Herrera:
Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets.
Int. J. Approx. Reasoning 50(3): 561-577 (2009) |
25 | EE | Jesús Alcalá-Fdez,
Luciano Sánchez,
Salvador García,
María José del Jesús,
Sebastián Ventura,
Josep Maria Garrell i Guiu,
José Otero,
Cristóbal Romero,
Jaume Bacardit,
Víctor M. Rivas,
Juan Carlos Fernández,
Francisco Herrera:
KEEL: a software tool to assess evolutionary algorithms for data mining problems.
Soft Comput. 13(3): 307-318 (2009) |
2008 |
24 | EE | Cristóbal J. Carmona,
María José del Jesús,
Pablo Guerrero,
Reyes Peña-Santiago,
Víctor M. Rivas:
Techniques of Engineering Applied to a Non-structured Data Model.
DCAI 2008: 410-414 |
23 | EE | Elisabet Parras-Gutierrez,
María José del Jesús,
Juan Julián Merelo Guervós,
Víctor M. Rivas:
A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design.
DCAI 2008: 663-671 |
22 | EE | Elisabet Parras-Gutierrez,
Víctor M. Rivas,
María José del Jesús:
Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm.
HAIS 2008: 140-147 |
21 | EE | María José del Jesús,
Pedro González,
Francisco Herrera:
Subgroup Discovery with Linguistic Rules.
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 411-430 |
20 | EE | Alberto Fernández,
Salvador García,
María José del Jesús,
Francisco Herrera:
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets.
Fuzzy Sets and Systems 159(18): 2378-2398 (2008) |
2007 |
19 | EE | Jose Joaquin Aguilera,
Manuel Chica,
María José del Jesús,
Francisco Herrera:
Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule-based Classification Systems.
FUZZ-IEEE 2007: 1-6 |
18 | EE | M. Dolores Pérez-Godoy,
Antonio Jesús Rivera Rivas,
María José del Jesús,
Ignacio Rojas:
CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm.
IWANN 2007: 324-332 |
17 | EE | Alberto Fernández,
Salvador García,
María José del Jesús,
Francisco Herrera:
A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets.
IWANN 2007: 375-382 |
16 | EE | Alberto Fernández,
Salvador García,
Francisco Herrera,
María José del Jesús:
An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets.
WILF 2007: 170-178 |
15 | EE | María José del Jesús,
Pedro González,
Francisco Herrera,
Mikel Mesonero:
Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing.
IEEE T. Fuzzy Systems 15(4): 578-592 (2007) |
14 | EE | Jorge Casillas,
Francisco Herrera,
R. Pérez,
María José del Jesús,
Pedro Villar:
Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off.
Int. J. Approx. Reasoning 44(1): 1-3 (2007) |
13 | EE | Antonio Jesús Rivera Rivas,
Ignacio Rojas,
Julio Ortega,
María José del Jesús:
A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks.
Soft Comput. 11(7): 655-668 (2007) |
2006 |
12 | EE | Francisco José Berlanga,
María José del Jesús,
María José Gacto,
Francisco Herrera:
A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems.
ICAISC 2006: 182-191 |
11 | EE | Francisco José Berlanga,
María José del Jesús,
Pedro González,
Francisco José Herrera,
Mikel Mesonero:
Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing.
Industrial Conference on Data Mining 2006: 337-349 |
2005 |
10 | EE | Francisco José Berlanga,
María José del Jesús,
Francisco Herrera:
Learning compact fuzzy rule-based classification systems with genetic programming.
EUSFLAT Conf. 2005: 1027-1032 |
9 | EE | María José del Jesús,
Pedro González,
Francisco Herrera,
Mikel Mesonero:
Evolutionary Induction of Descriptive Rules in a Market Problem.
Intelligent Data Mining 2005: 267-292 |
8 | EE | Jorge Casillas,
Oscar Cordón,
María José del Jesús,
Francisco Herrera:
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction.
IEEE T. Fuzzy Systems 13(1): 13-29 (2005) |
2004 |
7 | EE | María José del Jesús,
Frank Hoffmann,
Luis Junco Navascués,
Luciano Sánchez:
Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms.
IEEE T. Fuzzy Systems 12(3): 296-308 (2004) |
2003 |
6 | EE | Antonio Jesús Rivera Rivas,
Julio Ortega,
Ignacio Rojas,
María José del Jesús:
Co-evolutionary Algorithm for RBF by Self-Organizing Population of Neurons.
IWANN (1) 2003: 470-477 |
2002 |
5 | EE | Luciano Sánchez,
Jorge Casillas,
Oscar Cordón,
María José del Jesús:
Some relationships between fuzzy and random set-based classifiers and models.
Int. J. Approx. Reasoning 29(2): 175-213 (2002) |
2001 |
4 | EE | M. Navío,
Jose Joaquin Aguilera,
María José del Jesús,
R. González,
Francisco Herrera,
C. Iríbar:
Feature Selection Algorithms Applied to Parkinson's Disease.
ISMDA 2001: 195-200 |
3 | | Jorge Casillas,
Oscar Cordón,
María José del Jesús,
Francisco Herrera:
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems.
Inf. Sci. 136(1-4): 135-157 (2001) |
1999 |
2 | EE | Oscar Cordón,
María José del Jesús,
Francisco Herrera:
A proposal on reasoning methods in fuzzy rule-based classification systems.
Int. J. Approx. Reasoning 20(1): 21-45 (1999) |
1998 |
1 | | Oscar Cordón,
María José del Jesús,
Francisco Herrera,
Manuel Lozano:
Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 5: 56-61 (1998) |