Publicaciones

2009

Addressing Data-Complexity for Imbalanced Data-sets: A Preliminary Study on the Use of Preprocessing for C4.5

J. Luengo, Alberto Luis Fernández Hilario, Francisco Herrera Triguero, Salvador García López

Adaptation and Application of Multi-Objective Evolutionary Algorithms for Rule Reduction and Parameter Tuning of Fuzzy Rule-Based Systems

M. Gacto, Rafael Alcalá, Francisco Herrera Triguero

Adaptación de una asignatura avanzada de redes de computadores al modelo de docencia virtual dentro del marco del Espacio Europeo de Educación Superior

Antonio Jesús Rivera Rivas, Cristóbal J. Carmona, María Dolores Pérez Godoy, Maria José del Jesus Díaz

2009 - FINDIT.pdf

A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design

Elisabet Parras Gutiérrez, Maria José del Jesus Díaz, Juan Merelo, Victor Rivas, Juan Corchado, Sara Rodríguez, James Llinas, José Molina

A Preliminar Analysis of CO2RBFN in Imbalanced Problems

María Dolores Pérez Godoy, Antonio Jesús Rivera Rivas, Alberto Luis Fernández Hilario, Maria José del Jesus Díaz, Francisco Herrera Triguero, Joan Cabestany, Francisco Sandoval, Alberto Prieto, Juan Corchado

A new algorithm for computing Boolean operations on polygons

Francisco Martínez, Antonio Rueda, Francisco Feito

A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability

M. Gacto, Rafael Alcalá, Francisco Herrera Triguero

Un Primer Estudio sobre la Utilización de Selección Evolutiva de Conjuntos de Entrenamiento en Problemas de Clasificación con Clases no Balanceadas y árboles de Decisión

Salvador García López, Alberto Luis Fernández Hilario, Francisco Herrera Triguero

Learning the Membership Function Contexts for Mining Fuzzy Association Rules by Using Genetic Algorithms

Jesus Alcala-Fdez, Rafael Alcalá, M. Gacto, Francisco Herrera Triguero

Modelo predictivo colaborativo de apoyo al diagnóstico en servicio de urgencias psiquiátricas

José Ramón Cano De Amo, Pedro González García, Jose Joaquin García, A.G. López-Herrera, Francisco Herrera Triguero, M. Navío, Jiménez-Arriero Angel

Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery

Cristóbal J. Carmona, Pedro González García, Maria José del Jesus Díaz, Francisco Herrera Triguero

2009 - HAIS.pdf

Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms

Luciano Sánchez, José Otero, Inés Couso

On the influence of an adaptive inference system in fuzzy rule-based classification sytems for imbalanced data-sets

Alberto Luis Fernández Hilario, Francisco Herrera Triguero, Maria José del Jesus Díaz

Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms

M.G. Arenas, Elisabet Parras Gutiérrez, V. Rivas, P.A. Castillo, Maria José del Jesus Díaz, Juan Merelo

Study of the robustness of a meta-algorithm for the estimation of parameters in Radial Basis Function Neural Networks design

Elisabet Parras Gutiérrez, V. Rivas, Maria José del Jesus Díaz, Juan Merelo

Symbpar vs Symbiotic_CHC_RBF: Diseñando redes de base radial de forma coevolutiva y paralela

M. García-Arenas, Elisabet Parras Gutiérrez, V. Rivas

Taximeter verification using imprecise data from GPS

José Villar, Adolfo Otero, José Otero, Luciano Sánchez

Taximeter verification with GPS and soft computing techniques

José Villar, Adolfo Otero, José Otero, Luciano Sánchez

Tests de inclusión punto en objeto basados en árboles de intervalos

Francisco Martínez, Antonio Rueda, Francisco Feito-Higueruela

Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-sets Using an Evolutionary Adaptive Inference System

Alberto Luis Fernández Hilario, Maria José del Jesus Díaz, Francisco Herrera Triguero

Improving Fuzzy Logic Controllers Obtained by Experts: A Case Study in HVAC Systems

Rafael Alcalá, Jesus Alcala-Fdez, M. Gacto, Francisco Herrera Triguero

Enhanced Radial Basis Function Neural Network Design Using Parallel Evolutionary Algorithms

Elisabet Parras Gutiérrez, M. García-Arenas, V. Rivas

Enhancing the Effectiveness and Interpretability of Decision Tree and Rule Induction Classifiers with Evolutionary Training Set Selection over Imbalanced Problems

Salvador García López, Alberto Luis Fernández Hilario, Francisco Herrera Triguero

KEEL: A Software Tool to Assess Evolutionary Algorithms for Data Mining Problems

Jesus Alcala-Fdez, L. Sánchez, Salvador García López, Maria José del Jesus Díaz, S. Ventura, J.M. Garrell, J. Otero, C. Romero, J. Bacardit, V. Rivas, J.C. Fernández, Francisco Herrera Triguero

E-tsRBF: Automatic determination of lags to forecast time series by means of Radial Basis Function Neural Networks

Elisabet Parras Gutiérrez, V. Rivas

E-tsRBF: preliminary results on the simultaneous determination of time-lags and parameters of Radial Basis Function Neural Networks for time series forecasting

Elisabet Parras Gutiérrez, V. Rivas, Maria José del Jesus Díaz

Evolutionary and metaheuristics based data mining

Maria José del Jesus Díaz, J.A. Gámez, J.M. Puerta

Extending a simple genetic cooperative-competitive learning fuzzy classifier to low quality datasets

Ana Palacios, Luciano Sánchez, Inés Couso

Hierarchical fuzzy rule based classfication systems with genetic rule selection for imbalanced data-sets

Alberto Luis Fernández Hilario, Maria José del Jesus Díaz, Francisco Herrera Triguero

Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm

M. Gacto, Rafael Alcalá, Francisco Herrera Triguero

GFS-Based Analysis of Vague Databases in High Performance Athletics

Ana Palacios, Inés Couso, Luciano Sánchez

Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets

Alberto Luis Fernández Hilario, Francisco Berlanga, Maria José del Jesus Díaz, Francisco Herrera Triguero

2008

KEEL: A Data Mining Software Tool Integrating Genetic Fuzzy Systems

Jesus Alcala-Fdez, Salvador García López, Francisco Berlanga, Alberto Luis Fernández Hilario, L. Sánchez, Maria José del Jesus Díaz, Francisco Herrera Triguero

Making CN1 -SD Subgroup Discovery Algorithm Scalable to Large Size Data Sets Using Instance Selection

José Ramón Cano De Amo, Francisco Herrera Triguero, Manuel Lozano, Salvador García López

Making CN2-SD Subgroup Discovery Algorithm scalable to Large Size Data Sets using Instance Selection

José Ramón Cano De Amo, Francisco Herrera Triguero, Manuel Lozano Márquez, Salvador García López

Multi-Objective Genetic Fuzzy Systems: On the Necessity of Including Expert Knowledge in the MOEA Design Process

M. Gacto, Rafael Alcalá, Francisco Herrera Triguero

Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data

Luciano Sánchez, Rosario Suárez, José Villar, Inés Couso

Obtaining transparent models of chaotic systems with multi-objective simulated annealing algorithms

Luciano Sánchez, José Villar

On the Use of Bagging, Mutual Information-Based Feature Selection and Multicriteria Genetic Algorithms to Design Fuzzy Rule-Based Classification Ensembles

Óscar Cordón García, A. Quirin, L. Sánchez

On the use of Multiobjective Genetic Algorithms to Improve the Accuracy-Interpretability Trade-Off of Fuzzy Rule-Based Systems

Rafael Alcalá, Jesus Alcala-Fdez, M. Gacto, Francisco Herrera Triguero, A. Ghosh, S. Dehuri, S. Ghosh

On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection

Rafael Alcalá, Jesus Alcala-Fdez, M. Gacto, Francisco Herrera Triguero, Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh

Parameter Estimation for Radial Basis Function Neural Network Design by Means of Two Symbiotic Algorithms

Elisabet Parras Gutiérrez, V. Rivas, Maria José del Jesus Díaz, Juan Merelo

Replacement strategies to preserve useful diversity in steady-state genetic algorithms

Manuel Lozano Márquez, José Ramón Cano De Amo, Francisco Herrera Triguero

Influencia de la granularidad y de las medidas de calidad en SDIGA

Pedro González García, Cristóbal J. Carmona, Maria José del Jesus Díaz, Francisco Herrera Triguero

2008b - ESTYLF.pdf

Higher order models for fuzzy random variables

Inés Couso, Luciano Sánchez

Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm

Elisabet Parras Gutiérrez, V. Rivas, Maria José del Jesus Díaz

Publicaciones

2009

2008

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