2009 | ||
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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) |