María José del Jesús

Victoria López, Alberto Fernández, María José del Jesús, Francisco Herrera: A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets. Knowl.-Based Syst. 38: 85-104 (2013)

Alberto Fernández, Victoria López, Mikel Galar, María José del Jesús, Francisco Herrera: Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches. Knowl.-Based Syst. 42: 97-110 (2013)

Cristóbal J. Carmona, Julián Luengo, Pedro González, María José del Jesús: An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery. Expert Syst. Appl. 39(13): 11404-11412 (2012)

Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesús, Francisco Herrera: Improving Multi-label Classifiers via Label Reduction with Association Rules. HAIS (2) 2012: 188-199

Victoria López, Alberto Fernández, María José del Jesús, Francisco Herrera: Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. ICPRAM (2) 2012: 98-107

Antonio Jesús Rivera Rivas, Pedro Pérez-Recuerda, M. Dolores Pérez-Godoy, María José del Jesús, María Pilar Frías, Manuel Parras: A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods. Appl. Intell. 34(3): 331-346 (2011)

Francisco Herrera, Cristóbal J. Carmona, Pedro González, María José del Jesús: An overview on subgroup discovery: foundations and applications. Knowl. Inf. Syst. 29(3): 495-525 (2011)

María José del Jesús, José A. Gámez, Pedro González, José Miguel Puerta: On the discovery of association rules by means of evolutionary algorithms. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 1(5): 397-415 (2011)

Antonio Jesús Rivera Rivas, M. Dolores Pérez-Godoy, María José del Jesús, Pedro Pérez-Recuerda, María Pilar Frías, Manuel Parras: A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price. CAEPIA 2011: 263-272

Antonio Jesús Rivera Rivas, Francisco Charte, M. Dolores Pérez-Godoy, María José del Jesús: Multi-label Testing for CO²RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification. IWANN (1) 2011: 41-48

M. Dolores Pérez-Godoy, Pedro Pérez-Recuerda, Antonio Jesús Rivera Rivas, María José del Jesús, Cristóbal J. Carmona, María Pilar Frías, Manuel Parras: CO²RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market. Int. J. Hybrid Intell. Syst. 7(1): 75-87 (2010)

Francisco José Berlanga, Antonio Jesús Rivera Rivas, María José del Jesús, Francisco Herrera: GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems. Inf. Sci. 180(8): 1183-1200 (2010)

Alberto Fernández, María José del Jesús, Francisco Herrera: On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets. Inf. Sci. 180(8): 1268-1291 (2010)

M. Dolores Pérez-Godoy, Alberto Fernández, Antonio Jesús Rivera Rivas, María José del Jesús: Analysis of an evolutionary RBFN design algorithm, CO²RBFN, for imbalanced data sets. Pattern Recognition Letters 31(15): 2375-2388 (2010)

M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Francisco José Berlanga, María José del Jesús: CO²RBFN: an evolutionary cooperative-competitive RBFN design algorithm for classification problems. Soft Comput. 14(9): 953-971 (2010)

Cristóbal J. Carmona, Pedro González, María José del Jesús, Francisco Herrera: NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery. IEEE T. Fuzzy Systems 18(5): 958-970 (2010)

M. Dolores Pérez-Godoy, Pedro Pérez-Recuerda, Antonio Jesús Rivera Rivas, María José del Jesús, María Pilar Frías, Manuel Parras: Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market. IEA/AIE (1) 2010: 205-214

M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Cristóbal J. Carmona, María José del Jesús: A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design. IJCNN 2010: 1-7

Alberto Fernández, María José del Jesús, Francisco Herrera: Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning. IPMU 2010: 89-98

Cristóbal Romero, Pedro González, Sebastián Ventura, María José del Jesús, Francisco Herrera: Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Syst. Appl. 36(2): 1632-1644 (2009)

Alberto Fernández, María José del Jesús, Francisco Herrera: On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets. Expert Syst. Appl. 36(6): 9805-9812 (2009)

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)

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)

Alberto Fernández, Francisco José Berlanga, María José del Jesús, Francisco Herrera: Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. IFSA/EUSFLAT Conf. 2009: 42-47

Cristóbal J. Carmona, Pedro González, María José del Jesús, Francisco Herrera: An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery. FUZZ-IEEE 2009: 1706-1711

Cristóbal J. Carmona, Pedro González, María José del Jesús, Francisco Herrera: Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery. HAIS 2009: 573-580

Elisabet Parras-Gutierrez, Víctor M. Rivas, María José del Jesús: E-tsRBF: Preliminary Results on the Simultaneous Determination of Time-Lags and Parameters of Radial Basis Function Neural Networks for Time Series Forecasting. ISDA 2009: 1445-1449

Elisabet Parras-Gutierrez, Víctor M. Rivas, María José del Jesús, Juan J. Merelo Guervós: Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification. IWANN (2) 2009: 37-40

M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Alberto Fernández, María José del Jesús, Francisco Herrera: A Preliminar Analysis of CO2RBFN in Imbalanced Problems. IWANN (1) 2009: 57-64

Alberto Fernández, María José del Jesús, Francisco Herrera: Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System. IWANN (1) 2009: 294-301

Maribel García Arenas, Elisabet Parras-Gutierrez, Víctor M. Rivas, Pedro A. Castillo, María José del Jesús, Juan Julián Merelo Guervós: Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms. IWANN (1) 2009: 383-390

Pedro L. López, Antonio Jesús Rivera Rivas, M. Dolores Pérez-Godoy, María José del Jesús, Cristóbal J. Carmona: EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design. IWANN (1) 2009: 752-759

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)

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

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

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

Alberto Fernández, María José del Jesús, Francisco Herrera: A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. HIS 2008: 483-488

Elisabet Parras-Gutierrez, María José del Jesús, Víctor M. Rivas, Juan J. Merelo Guervós: Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design. HIS 2008: 519-524

Pedro Pérez-Recuerda, María Pilar Frías, M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, María José del Jesús, Elisabet Parras-Gutierrez, F. J. Torres: An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market. HIS 2008: 943-946

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

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)

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)

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)

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

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

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

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

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

Francisco José Berlanga, María José del Jesús, Pedro González, Francisco Herrera, Mikel Mesonero: Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing. Industrial Conference on Data Mining 2006: 337-349

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)

Francisco José Berlanga, María José del Jesús, Francisco Herrera: Learning compact fuzzy rule-based classification systems with genetic programming. EUSFLAT Conf. 2005: 1027-1032

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

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)

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

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)

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)

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

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)

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 2(5): 56-61 (1998)