Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas. - Oscar Cordón; María José del Jesus; Francisco Herrera; Manuel Lozano 001 (Inteligencia Artif., 1998)

Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods. - Oscar Cordón; María José del Jesus; Francisco Herrera (Int. J. Intell. Syst., 1998)

A proposal on reasoning methods in fuzzy rule-based classification systems. - Oscar Cordón; María José del Jesus; Francisco Herrera (Int. J. Approx. Reason., 1999)

MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach. - Oscar Cordón; María José del Jesus; Francisco Herrera; Manuel Lozano 001 (Int. J. Intell. Syst., 1999)

Feature Selection Algorithms Applied to Parkinson's Disease. - M. Navío; Jose Joaquin Aguilera; María José del Jesus; R. González; Francisco Herrera; C. Iríbar (ISMDA, 2001)

Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems. - Jorge Casillas; Oscar Cordón; María José del Jesus; Francisco Herrera (Inf. Sci., 2001)

Some relationships between fuzzy and random set-based classifiers and models. - Luciano Sánchez; Jorge Casillas; Oscar Cordón; María José del Jesus (Int. J. Approx. Reason., 2002)

Co-evolutionary Algorithm for RBF by Self-Organizing Population of Neurons. - Antonio Jesús Rivera Rivas; Julio Ortega 001; Ignacio Rojas; María José del Jesus (IWANN (1), 2003)

Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms. - María José del Jesus; Frank Hoffmann 001; Luis Junco Navascués; Luciano Sánchez (IEEE Trans. Fuzzy Syst., 2004)

Learning compact fuzzy rule-based classification systems with genetic programming. - Francisco José Berlanga; María José del Jesus; Francisco Herrera (EUSFLAT Conf., 2005)

Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction. - Jorge Casillas; Oscar Cordón; María José del Jesus; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2005)

Evolutionary Induction of Descriptive Rules in a Market Problem. - María José del Jesus; Pedro González 001; Francisco Herrera; Mikel Mesonero (Intelligent Data Mining, 2005)

A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems. - Francisco José Berlanga; María José del Jesus; María José Gacto; Francisco Herrera (ICAISC, 2006)

Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing. - Francisco José Berlanga; María José del Jesus; Pedro González 001; Francisco Herrera; Mikel Mesonero (ICDM, 2006)

Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules. - María José del Jesus; Pedro González 001; Francisco Herrera (MCDM, 2007)

Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule-based Classification Systems. - Jose Joaquin Aguilera; Manuel Chica; María José del Jesus; Francisco Herrera (FUZZ-IEEE, 2007)

A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets. - Alberto Fernández 001; Salvador García 001; María José del Jesus; Francisco Herrera (IWANN, 2007)

CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm. - M. Dolores Pérez-Godoy; Antonio Jesús Rivera Rivas; María José del Jesus; Ignacio Rojas (IWANN, 2007)

An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets. - Alberto Fernández 001; Salvador García 001; Francisco Herrera; María José del Jesus (WILF, 2007)

Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off. - Jorge Casillas; Francisco Herrera; Raúl Pérez; María José del Jesus; Pedro Villar (Int. J. Approx. Reason., 2007)

A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks. - Antonio Jesús Rivera Rivas; Ignacio Rojas; Julio Ortega Lopera; María José del Jesus (Soft Comput., 2007)

Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing. - María José del Jesus; Pedro González 001; Francisco Herrera; Mikel Mesonero (IEEE Trans. Fuzzy Syst., 2007)

Techniques of Engineering Applied to a Non-structured Data Model. - Cristóbal J. Carmona; María José del Jesus; Pablo Guerrero; Reyes Peña-Santiago; Víctor M. Rivas (DCAI, 2008)

A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design. - Elisabet Parras-Gutierrez; María José del Jesus; Juan Julián Merelo Guervós; Víctor M. Rivas (DCAI, 2008)

KEEL: A data mining software tool integrating genetic fuzzy systems. - Jesús Alcalá-Fdez; Salvador García 001; Francisco José Berlanga; Alberto Fernández 001; Luciano Sánchez; María José del Jesus; Francisco Herrera (GEFS, 2008)

A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems. - Francisco José Berlanga; María José del Jesus; Francisco Herrera (GEFS, 2008)

Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm. - Elisabet Parras-Gutierrez; Víctor M. Rivas; María José del Jesus (HAIS, 2008)

A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. - Alberto Fernández 001; María José del Jesus; Francisco Herrera (HIS, 2008)

Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design. - Elisabet Parras-Gutierrez; María José del Jesus; Víctor M. Rivas; Juan Julián Merelo Guervós (HIS, 2008)

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

A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets. - Alberto Fernández 001; Salvador García 001; María José del Jesus; Francisco Herrera (Fuzzy Sets Syst., 2008)

Subgroup Discovery with Linguistic Rules. - María José del Jesus; Pedro González 001; Francisco Herrera (Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008)

Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. - Alberto Fernández 001; Francisco José Berlanga; María José del Jesus; Francisco Herrera (IFSA/EUSFLAT Conf., 2009)

An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery. - Cristóbal J. Carmona; Pedro González 001; María José del Jesus; Francisco Herrera (FUZZ-IEEE, 2009)

Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery. - Cristóbal J. Carmona; Pedro González 001; María José del Jesus; Francisco Herrera (HAIS, 2009)

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-Gutierrez; Víctor M. Rivas; María José del Jesus (ISDA, 2009)

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

Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System. - Alberto Fernández 001; María José del Jesus; Francisco Herrera (IWANN (1), 2009)

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

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

A Preliminar Analysis of CO2RBFN in Imbalanced Problems. - M. Dolores Pérez-Godoy; Antonio Jesús Rivera Rivas; Alberto Fernández 001; María José del Jesus; Francisco Herrera (IWANN (1), 2009)

On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets. - Alberto Fernández 001; María José del Jesus; Francisco Herrera (Expert Syst. Appl., 2009)

Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. - Cristóbal Romero 001; Pedro González 001; Sebastián Ventura; María José del Jesus; Francisco Herrera (Expert Syst. Appl., 2009)

Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets. - Alberto Fernández 001; María José del Jesus; Francisco Herrera (Int. J. Approx. Reason., 2009)

KEEL: a software tool to assess evolutionary algorithms for data mining problems. - Jesús Alcalá-Fdez; Luciano Sánchez; Salvador García 001; María José del Jesus; Sebastián Ventura; Josep Maria Garrell i Guiu; José Otero; Cristóbal Romero 001; Jaume Bacardit; Víctor M. Rivas; Juan Carlos Fernández 001; Francisco Herrera (Soft Comput., 2009)

Evolutionary and metaheuristics based data mining. - María José del Jesus; José A. Gámez 001; José M. Puerta (Soft Comput., 2009)

Analysing the Hierarchical Fuzzy Rule Based Classification Systems with genetic rule selection. - Alberto Fernández 001; María José del Jesus; Francisco Herrera (GEFS, 2010)

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

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

Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning. - Alberto Fernández 001; María José del Jesus; Francisco Herrera (IPMU, 2010)

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

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

On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets. - Alberto Fernández 001; María José del Jesus; Francisco Herrera (Inf. Sci., 2010)

Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets. - M. Dolores Pérez-Godoy; Alberto Fernández 001; Antonio Jesús Rivera Rivas; María José del Jesus (Pattern Recognit. Lett., 2010)

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

NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery. - Cristóbal J. Carmona; Pedro González 001; María José del Jesus; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2010)

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

Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD. - Cristóbal J. Carmona; Pedro González 001; María José del Jesus; Francisco Herrera (GEFS, 2011)

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

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

An overview on subgroup discovery: foundations and applications. - Francisco Herrera; Cristóbal J. Carmona; Pedro González 001; María José del Jesus (Knowl. Inf. Syst., 2011)

Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department. - Cristóbal J. Carmona; Pedro González 001; María José del Jesus; Mercedes Navío-Acosta; L. Jiménez-Trevino (Soft Comput., 2011)

On the discovery of association rules by means of evolutionary algorithms. - María José del Jesus; José A. Gámez 001; Pedro González 001; José M. Puerta (WIREs Data Mining Knowl. Discov., 2011)

A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery. - Cristóbal J. Carmona; Julián Luengo; Pedro González 001; María José del Jesus (FUZZ-IEEE, 2012)

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

Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com. - Cristóbal J. Carmona; Sergio Ramírez-Gallego; F. J. Torres; Enrique Bernal; María José del Jesus; Salvador García 001 (ICEIS (2), 2012)

Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. - Victoria López; Alberto Fernández 001; María José del Jesus; Francisco Herrera (ICPRAM (2), 2012)

A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO2RBFN. - Antonio J. Rivera; B. García-Domingo; María José del Jesus; Jorge Aguilera 001 (SOCO, 2012)

An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery. - Cristóbal J. Carmona; Julián Luengo; Pedro González 001; María José del Jesus (Expert Syst. Appl., 2012)

Web usage mining to improve the design of an e-commerce website: OrOliveSur.com. - Cristóbal J. Carmona; Sergio Ramírez-Gallego; F. J. Torres; Enrique Bernal; María José del Jesus; Salvador García 001 (Expert Syst. Appl., 2012)

Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD. - Cristóbal J. Carmona; Pedro González 001; María José Gacto; María José del Jesus (Int. J. Comput. Intell. Syst., 2012)

Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm. - Elisabet Parras-Gutierrez; Maribel García Arenas; Víctor M. Rivas; María José del Jesus (Soft Comput., 2012)

A First Approach to Deal with Imbalance in Multi-label Datasets. - Francisco Charte; Antonio Jesús Rivera Rivas; María José del Jesus; Francisco Herrera (HAIS, 2013)

An evolutionary fuzzy system for the detection of exceptions in subgroup discovery. - Cristóbal J. Carmona; Pedro González 001; María José del Jesus; B. García-Domingo; Jorge Aguilera 001 (IFSA/NAFIPS, 2013)

A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments. - M. Dolores Pérez-Godoy; Antonio J. Rivera; María José del Jesus; Francisco Martínez (IJCNN, 2013)

Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks. - Francisco Charte Ojeda; Antonio Jesús Rivera Rivas; María Dolores Pérez-Godoy; María José del Jesus (IWANN (1), 2013)

Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm. - Cristóbal J. Carmona; Charalambos Chrysostomou; Huseyin Seker; María José del Jesus (Appl. Soft Comput., 2013)

Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks. - Antonio J. Rivera; B. García-Domingo; María José del Jesus; Jorge Aguilera 001 (Expert Syst. Appl., 2013)

MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology. - Cristóbal J. Carmona; Pedro González 001; B. García-Domingo; María José del Jesus; Jorge Aguilera 001 (Knowl. Based Syst., 2013)

Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches. - Alberto Fernández 001; Victoria López; Mikel Galar; María José del Jesus; Francisco Herrera (Knowl. Based Syst., 2013)

A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets. - Victoria López; Alberto Fernández 001; María José del Jesus; Francisco Herrera (Knowl. Based Syst., 2013)

Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms. - Francisco Charte; Antonio Jesús Rivera Rivas; María José del Jesus; Francisco Herrera (HAIS, 2014)

MLeNN: A First Approach to Heuristic Multilabel Undersampling. - Francisco Charte; Antonio J. Rivera; María José del Jesus; Francisco Herrera (IDEAL, 2014)

Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets. - M. Dolores Pérez-Godoy; Antonio J. Rivera; Cristóbal J. Carmona; María José del Jesus (Appl. Soft Comput., 2014)

Short, medium and long term forecasting of time series using the L-Co-R algorithm. - Elisabet Parras-Gutierrez; Víctor M. Rivas; Maribel García Arenas; María José del Jesus (Neurocomputing, 2014)

LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification. - Francisco Charte; Antonio J. Rivera; María José del Jesus; Francisco Herrera (IEEE Trans. Neural Networks Learn. Syst., 2014)

Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms. - Cristóbal J. Carmona; Pedro González 001; María José del Jesus; Francisco Herrera (WIREs Data Mining Knowl. Discov., 2014)

Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks. - Alberto Fernández 001; Sara del Río; Victoria López; Abdullah Bawakid; María José del Jesus; José Manuel Benítez 001; Francisco Herrera (WIREs Data Mining Knowl. Discov., 2014)

QUINTA: A question tagging assistant to improve the answering ratio in electronic forums. - Francisco Charte; Antonio J. Rivera; María José del Jesus; Francisco Herrera (EUROCON, 2015)

FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery. - Cristóbal J. Carmona; Pedro González 001; María José del Jesus (IFSA-EUSFLAT, 2015)

Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels. - Francisco Charte; Antonio Jesús Rivera; María José del Jesus; Francisco Herrera (HAIS, 2015)

Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection. - Alberto Fernández 001; María José del Jesus; Francisco Herrera (IDEAL, 2015)

CO ^2 RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design. - María Dolores Pérez-Godoy; Antonio Jesús Rivera; Francisco Charte; María José del Jesus (IWANN (1), 2015)

A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions. - B. García-Domingo; Cristóbal J. Carmona; Antonio Jesús Rivera Rivas; María José del Jesus; Jorge Aguilera 001 (Expert Syst. Appl., 2015)

Addressing imbalance in multilabel classification: Measures and random resampling algorithms. - Francisco Charte; Antonio J. Rivera; María José del Jesus; Francisco Herrera (Neurocomputing, 2015)

A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans. - Cristóbal J. Carmona; Victor Ruiz-Rodado; María José del Jesus; A. Weber; Martin Grootveld; Pedro González 001; David A. Elizondo (Inf. Sci., 2015)

MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. - Francisco Charte; Antonio J. Rivera; María José del Jesus; Francisco Herrera (Knowl. Based Syst., 2015)

Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges. - Alberto Fernández 001; Victoria López; María José del Jesus; Francisco Herrera (Knowl. Based Syst., 2015)

Multilabel Classification - Problem Analysis, Metrics and Techniques - Francisco Herrera; Francisco Charte; Antonio J. Rivera; María José del Jesus (Springer, 2016)

Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach. - Cristóbal J. Carmona; Francisco Javier Pulgar; Antonio Jesús Rivera Rivas; María José del Jesus; Jorge Aguilera 001 (HAIS, 2016)

R Ultimate Multilabel Dataset Repository. - Francisco Charte; David Charte; Antonio J. Rivera; María José del Jesus; Francisco Herrera (HAIS, 2016)

On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance. - Francisco Charte; Antonio J. Rivera; María José del Jesus; Francisco Herrera (HAIS, 2016)

Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining. - Ángel Miguel García-Vico; J. Montes; Jorge Aguilera 001; Cristóbal J. Carmona; María José del Jesus (SOCO-CISIS-ICEUTE, 2016)

A View on Fuzzy Systems for Big Data: Progress and Opportunities. - Alberto Fernández 001; Cristóbal J. Carmona; María José del Jesus; Francisco Herrera (Int. J. Comput. Intell. Syst., 2016)

Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package. - Ángel M. García; Francisco Charte; Pedro González 001; Cristóbal J. Carmona; María José del Jesus (R J., 2016)

A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm. - Ángel Miguel García-Vico; Pedro González 001; María José del Jesus; Cristóbal J. Carmona (FUZZ-IEEE, 2017)

On the Impact of Imbalanced Data in Convolutional Neural Networks Performance. - Francisco Javier Pulgar; Antonio J. Rivera; Francisco Charte; María José del Jesus (HAIS, 2017)

A Transformation Approach Towards Big Data Multilabel Decision Trees. - Antonio Jesús Rivera Rivas; Francisco Charte Ojeda; Francisco Javier Pulgar; María José del Jesus (IWANN (1), 2017)

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. - Isaac Triguero; Sergio González; Jose M. Moyano; Salvador García 001; Jesús Alcalá-Fdez; Julián Luengo; Alberto Fernández 001; María José del Jesus; Luciano Sánchez; Francisco Herrera (Int. J. Comput. Intell. Syst., 2017)

A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets. - Alberto Fernández 001; Cristóbal J. Carmona; María José del Jesus; Francisco Herrera (Int. J. Neural Syst., 2017)

MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution. - Francisco Javier Pulgar; Antonio Jesús Rivera Rivas; María Dolores Pérez-Godoy; Pedro González 001; Cristóbal J. Carmona; María José del Jesus (Knowl. Based Syst., 2017)

A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders. - Francisco Javier Pulgar; Francisco Charte; Antonio J. Rivera; María José del Jesus (IDEAL (1), 2018)

An Approximation to Deep Learning Touristic-Related Time Series Forecasting. - Daniel Trujillo Viedma; Antonio Jesús Rivera Rivas; Francisco Charte Ojeda; María José del Jesus Díaz (IDEAL (1), 2018)

Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization. - Francisco Charte; Antonio J. Rivera; María José del Jesus; Francisco Herrera (CoRR, 2018)

Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository. - Francisco Charte; Antonio J. Rivera; David Charte; María José del Jesus; Francisco Herrera (Neurocomputing, 2018)

A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. - David Charte; Francisco Charte; Salvador García 001; María José del Jesus; Francisco Herrera (Inf. Fusion, 2018)

A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy. - Cristóbal J. Carmona; María José del Jesus; Francisco Herrera (Knowl. Based Syst., 2018)

Improvement of subgroup descriptions in noisy data by detecting exceptions. - Pedro González García; Ángel Miguel García-Vico; Cristóbal J. Carmona; María José del Jesus (Prog. Artif. Intell., 2018)

Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming. - José María Luna; Mykola Pechenizkiy; María José del Jesus; Sebastián Ventura (IEEE Trans. Cybern., 2018)

MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns. - Ángel Miguel García-Vico; Cristóbal J. Carmona; Pedro González 001; María José del Jesus (IEEE Trans. Fuzzy Syst., 2018)

An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects. - Ángel Miguel García-Vico; Cristóbal J. Carmona; Diana Martín; Milton García-Borroto; María José del Jesus (WIREs Data Mining Knowl. Discov., 2018)

A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy. - Daniel Trujillo Viedma; Antonio Jesús Rivera Rivas; Francisco Charte Ojeda; María José del Jesus Díaz (IWANN (1), 2019)

A Showcase of the Use of Autoencoders in Feature Learning Applications. - David Charte; Francisco Charte; María José del Jesus; Francisco Herrera (IWINAC (2), 2019)

Automating Autoencoder Architecture Configuration: An Evolutionary Approach. - Francisco Charte; Antonio J. Rivera; Francisco Martínez; María José del Jesus (IWINAC (1), 2019)

Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to? - Alberto Fernández 001; Francisco Herrera; Oscar Cordón; María José del Jesus; Francesco Marcelloni (IEEE Comput. Intell. Mag., 2019)

A Big Data Approach for the Extraction of Fuzzy Emerging Patterns. - Ángel Miguel García-Vico; Pedro González 001; Cristóbal José Carmona; María José del Jesus (Cogn. Comput., 2019)

Subgroup Discovery on Multiple Instance Data. - José María Luna; Cristóbal J. Carmona; Ángel Miguel García-Vico; María José del Jesus; Sebastián Ventura (Int. J. Comput. Intell. Syst., 2019)

AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction. - Francisco Javier Pulgar; Francisco Charte; Antonio J. Rivera; María José del Jesus (Int. J. Comput. Intell. Syst., 2019)

Dealing with difficult minority labels in imbalanced mutilabel data sets. - Francisco Charte; Antonio J. Rivera; María José del Jesus; Francisco Herrera (Neurocomputing, 2019)

REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization. - Francisco Charte; Antonio J. Rivera; María José del Jesus; Francisco Herrera (Neurocomputing, 2019)

A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns. - Ángel Miguel García-Vico; Cristóbal José Carmona; Pedro González 001; María José del Jesus (SOCO, 2020)

A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops. - Antonio Jesús Rivera; María Dolores Pérez-Godoy; David A. Elizondo; Lipika Deka; María José del Jesus (SOCO, 2020)

EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search. - Francisco Charte; Antonio J. Rivera; Francisco Martínez; María José del Jesus (Integr. Comput. Aided Eng., 2020)

An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges. - David Charte; Francisco Charte; María José del Jesus; Francisco Herrera (Neurocomputing, 2020)

Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines. - Francisco Javier Pulgar; Francisco Charte; Antonio J. Rivera; María José del Jesus (Inf. Fusion, 2020)

An analysis of technological frameworks for data streams. - Fernando Puentes; María Dolores Pérez-Godoy; Pedro González 001; María José del Jesus (Prog. Artif. Intell., 2020)

FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams. - Ángel Miguel García-Vico; Cristóbal J. Carmona; Pedro González 001; Huseyin Seker; María José del Jesus (IEEE Trans. Fuzzy Syst., 2020)

Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms. - Fernando Puentes-Marchal; María Dolores Pérez-Godoy; Pedro González 001; María José del Jesus (IWANN (2), 2021)

A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams. - Ángel Miguel García-Vico; Cristóbal J. Carmona; Pedro González 001; María José del Jesus (Expert Syst. Appl., 2021)

ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders. - Francisco Javier Pulgar; Francisco Charte; Antonio J. Rivera; María José del Jesus (Inf. Sci., 2021)

Analysis of clustering methods for crop type mapping using satellite imagery. - Antonio J. Rivera; María Dolores Pérez-Godoy; David A. Elizondo; Lipika Deka; María José del Jesus (Neurocomputing, 2022)

Analysis of Transformer Model Applications. - Maria Isabel Cabrera-Bermejo; María José del Jesus; Antonio J. Rivera; David A. Elizondo; Francisco Charte; M. Dolores Pérez-Godoy (HAIS, 2023)

NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images. - David de la Rosa; Antonio Álvarez; Ramón Pérez; Germán Garrote; Antonio J. Rivera; María José del Jesus; Francisco Charte (IWANN (2), 2023)

PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders. - David de la Rosa; Antonio J. Rivera; María José del Jesus; Francisco Charte (CoRR, 2023)

A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams. - Ángel Miguel García-Vico; Cristóbal J. Carmona; Pedro González 001; María José del Jesus (Inf. Fusion, 2023)

XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department. - Antonio Jesús Rivera; J. Cobo Muñoz; M. Dolores Pérez-Godoy; B. Sáenz de San Pedro; Francisco Charte; David A. Elizondo; C. Rodríguez; M. L. Abolafia; A. Perea; María José del Jesus (Artif. Intell. Medicine, 2023)

mldr.resampling: Efficient reference implementations of multilabel resampling algorithms. - Antonio J. Rivera; Miguel A. Dávila; David A. Elizondo; María José del Jesus; Francisco Charte (Neurocomputing, 2023)

Explainable Artificial Intelligence: An Overview on Hybrid Models. - Gabriel Quesada Álvarez; María José del Jesus Díaz; Pedro González García (MAI-XAI@ECAI, 2024)

Reducing Experimentation Training Overhead in Time Series Forecasting through LLM Adaptation. - M. Germán-Morales; Antonio J. Rivera; María José del Jesus; Cristóbal J. Carmona (IDEAL (2), 2025)

Preliminary Analysis of Loss Functions in Generative Model Inversion Attacks. - F. Moreno; Antonio J. Rivera; María José del Jesus; M. Dolores Pérez-Godoy (IDEAL (2), 2025)

MORENA: Empty Images Detection Based on Unsupervised Reconstruction Error Analysis. - David de la Rosa; María José del Jesus; María Dolores Pérez-Godoy; Francisco Charte (IWANN (1), 2025)

Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations. - M. Germán-Morales; Antonio Jesús Rivera; María José del Jesus; Cristóbal J. Carmona (Inf. Fusion, 2025)

Addressing Multilabel Imbalance with an Efficiency-Focused Approach Using Diffusion Model-Generated Synthetic Samples. - Francisco Charte; Miguel A. Dávila; María Dolores Pérez-Godoy; María José del Jesus (CoRR, 2025)