María José del Jesus

158 papers A* 1B 6C 7Misc 15Journal 87Unranked 39
YearRankTypeTitle / Venue / Authors
2025 J jnl
Addressing Multilabel Imbalance with an Efficiency-Focused Approach Using Diffusion Model-Generated Synthetic Samples.
CoRR
Francisco Charte, Miguel A. Dávila, María Dolores Pérez-Godoy, María José del Jesus
2025 — conf
MORENA: Empty Images Detection Based on Unsupervised Reconstruction Error Analysis.
IWANN (1)
David de la Rosa, María José del Jesus, María Dolores Pérez-Godoy, Francisco Charte
2025 — conf
Preliminary Analysis of Loss Functions in Generative Model Inversion Attacks.
IDEAL (2)
F. Moreno, Antonio J. Rivera, María José del Jesus, M. Dolores Pérez-Godoy
2025 — conf
Reducing Experimentation Training Overhead in Time Series Forecasting through LLM Adaptation.
IDEAL (2)
M. Germán-Morales, Antonio J. Rivera, María José del Jesus, Cristóbal J. Carmona
2025 J jnl
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations.
Inf. Fusion
M. Germán-Morales, Antonio Jesús Rivera, María José del Jesus, Cristóbal J. Carmona
2023 J jnl
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams.
Inf. Fusion
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus
2023 Misc conf
Analysis of Transformer Model Applications.
HAIS
Maria Isabel Cabrera-Bermejo, María José del Jesus, Antonio J. Rivera, David A. Elizondo, Francisco Charte, M. Dolores Pérez-Godoy
2023 J jnl
EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search.
CoRR
Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus
2023 — conf
NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images.
IWANN (2)
David de la Rosa, Antonio Álvarez, Ramón Pérez, Germán Garrote, Antonio J. Rivera, María José del Jesus, Francisco Charte
2023 J jnl
PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders.
CoRR
David de la Rosa, Antonio J. Rivera, María José del Jesus, Francisco Charte
2023 J jnl
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department.
Artif. Intell. Medicine
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
2023 J jnl
mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms.
CoRR
Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte
2023 J jnl
mldr.resampling: Efficient reference implementations of multilabel resampling algorithms.
Neurocomputing
Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte
2022 J jnl
Analysis of clustering methods for crop type mapping using satellite imagery.
Neurocomputing
Antonio J. Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka, María José del Jesus
2021 J jnl
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams.
Expert Syst. Appl.
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus
2021 J jnl
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders.
Inf. Sci.
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
2021 — conf
Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms.
IWANN (2)
Fernando Puentes-Marchal, María Dolores Pérez-Godoy, Pedro González, María José del Jesus
2020 — conf
A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns.
SOCO
Ángel Miguel García-Vico, Cristóbal José Carmona, Pedro González, María José del Jesus
2020 — conf
A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops.
SOCO
Antonio Jesús Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka, María José del Jesus
2020 J jnl
A Showcase of the Use of Autoencoders in Feature Learning Applications.
CoRR
David Charte, Francisco Charte, María José del Jesus, Francisco Herrera
2020 J jnl
An analysis of technological frameworks for data streams.
Prog. Artif. Intell.
Fernando Puentes, María Dolores Pérez-Godoy, Pedro González, María José del Jesus
2020 J jnl
An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges.
Neurocomputing
David Charte, Francisco Charte, María José del Jesus, Francisco Herrera
2020 J jnl
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges.
CoRR
David Charte, Francisco Charte, María José del Jesus, Francisco Herrera
2020 J jnl
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines.
Inf. Fusion
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
2020 J jnl
EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search.
Integr. Comput. Aided Eng.
Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus
2020 J jnl
FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams.
IEEE Trans. Fuzzy Syst.
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, Huseyin Seker, María José del Jesus
2019 J jnl
A Big Data Approach for the Extraction of Fuzzy Emerging Patterns.
Cogn. Comput.
Ángel Miguel García-Vico, Pedro González, Cristóbal José Carmona, María José del Jesus
2019 — conf
A Showcase of the Use of Autoencoders in Feature Learning Applications.
IWINAC (2)
David Charte, Francisco Charte, María José del Jesus, Francisco Herrera
2019 J jnl
AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction.
Int. J. Comput. Intell. Syst.
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
2019 — conf
Automating Autoencoder Architecture Configuration: An Evolutionary Approach.
IWINAC (1)
Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus
2019 J jnl
Dealing with difficult minority labels in imbalanced mutilabel data sets.
Neurocomputing
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2019 J jnl
Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?
IEEE Comput. Intell. Mag.
Alberto Fernández, Francisco Herrera, Oscar Cordón, María José del Jesus, Francesco Marcelloni
2019 J jnl
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization.
Neurocomputing
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2019 J jnl
Subgroup Discovery on Multiple Instance Data.
Int. J. Comput. Intell. Syst.
José María Luna, Cristóbal J. Carmona, Ángel Miguel García-Vico, María José del Jesus, Sebastián Ventura
2018 — conf
A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders.
IDEAL (1)
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
2018 J jnl
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines.
CoRR
David Charte, Francisco Charte, Salvador García, María José del Jesus, Francisco Herrera
2018 J jnl
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines.
Inf. Fusion
David Charte, Francisco Charte, Salvador García, María José del Jesus, Francisco Herrera
2018 J jnl
A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy.
Knowl. Based Syst.
Cristóbal J. Carmona, María José del Jesus, Francisco Herrera
2018 J jnl
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction.
CoRR
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
2018 J jnl
An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects.
WIREs Data Mining Knowl. Discov.
Ángel Miguel García-Vico, Cristóbal J. Carmona, Diana Martín, Milton García-Borroto, María José del Jesus
2018 J jnl
Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets.
CoRR
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2018 J jnl
Improvement of subgroup descriptions in noisy data by detecting exceptions.
Prog. Artif. Intell.
Pedro González García, Ángel Miguel García-Vico, Cristóbal J. Carmona, María José del Jesus
2018 J jnl
MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns.
IEEE Trans. Fuzzy Syst.
Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González, María José del Jesus
2018 J jnl
Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming.
IEEE Trans. Cybern.
José María Luna, Mykola Pechenizkiy, María José del Jesus, Sebastián Ventura
2018 J jnl
Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization.
CoRR
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2018 J jnl
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository.
Neurocomputing
Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, Francisco Herrera
2018 J jnl
Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository.
CoRR
Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, Francisco Herrera
2017 J jnl
A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets.
Int. J. Neural Syst.
Alberto Fernández, Cristóbal J. Carmona, María José del Jesus, Francisco Herrera
2017 — conf
A Transformation Approach Towards Big Data Multilabel Decision Trees.
IWANN (1)
Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, Francisco Javier Pulgar, María José del Jesus
2017 B conf
A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm.
FUZZ-IEEE
Ángel Miguel García-Vico, Pedro González, María José del Jesus, Cristóbal J. Carmona
2017 J jnl
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining.
Int. J. Comput. Intell. Syst.
Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, María José del Jesus, Luciano Sánchez, Francisco Herrera
2017 J jnl
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution.
Knowl. Based Syst.
Francisco Javier Pulgar, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy, Pedro González, Cristóbal J. Carmona, María José del Jesus
2017 Misc conf
On the Impact of Imbalanced Data in Convolutional Neural Networks Performance.
HAIS
Francisco Javier Pulgar, Antonio J. Rivera, Francisco Charte, María José del Jesus
2016 J jnl
A View on Fuzzy Systems for Big Data: Progress and Opportunities.
Int. J. Comput. Intell. Syst.
Alberto Fernández, Cristóbal J. Carmona, María José del Jesus, Francisco Herrera
2016 — conf
Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining.
SOCO-CISIS-ICEUTE
Ángel Miguel García-Vico, J. Montes, Jorge Aguilera, Cristóbal J. Carmona, María José del Jesus
2016 Misc conf
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach.
HAIS
Cristóbal J. Carmona, Francisco Javier Pulgar, Antonio Jesús Rivera Rivas, María José del Jesus, Jorge Aguilera
2016 — book
Multilabel Classification - Problem Analysis, Metrics and Techniques
Francisco Herrera, Francisco Charte, Antonio J. Rivera, María José del Jesus
2016 Misc conf
On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance.
HAIS
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2016 Misc conf
R Ultimate Multilabel Dataset Repository.
HAIS
Francisco Charte, David Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2016 J jnl
Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package.
R J.
Ángel M. García, Francisco Charte, Pedro González, Cristóbal J. Carmona, María José del Jesus
2015 J jnl
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions.
Expert Syst. Appl.
B. García-Domingo, Cristóbal J. Carmona, Antonio Jesús Rivera Rivas, María José del Jesus, Jorge Aguilera
2015 J jnl
A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans.
Inf. Sci.
Cristóbal J. Carmona, Victor Ruiz-Rodado, María José del Jesus, A. Weber, Martin Grootveld, Pedro González, David A. Elizondo
2015 C conf
Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection.
IDEAL
Alberto Fernández, María José del Jesus, Francisco Herrera
2015 J jnl
Addressing imbalance in multilabel classification: Measures and random resampling algorithms.
Neurocomputing
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2015 — conf
CO ^2 RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design.
IWANN (1)
María Dolores Pérez-Godoy, Antonio Jesús Rivera, Francisco Charte, María José del Jesus
2015 — conf
FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery.
IFSA-EUSFLAT
Cristóbal J. Carmona, Pedro González, María José del Jesus
2015 J jnl
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation.
Knowl. Based Syst.
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2015 — conf
QUINTA: A question tagging assistant to improve the answering ratio in electronic forums.
EUROCON
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2015 Misc conf
Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels.
HAIS
Francisco Charte, Antonio Jesús Rivera, María José del Jesus, Francisco Herrera
2015 J jnl
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges.
Knowl. Based Syst.
Alberto Fernández, Victoria López, María José del Jesus, Francisco Herrera
2014 J jnl
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks.
WIREs Data Mining Knowl. Discov.
Alberto Fernández, Sara del Río, Victoria López, Abdullah Bawakid, María José del Jesus, José Manuel Benítez, Francisco Herrera
2014 Misc conf
Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms.
HAIS
Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera
2014 J jnl
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification.
IEEE Trans. Neural Networks Learn. Syst.
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2014 C conf
MLeNN: A First Approach to Heuristic Multilabel Undersampling.
IDEAL
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2014 J jnl
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms.
WIREs Data Mining Knowl. Discov.
Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera
2014 J jnl
Short, medium and long term forecasting of time series using the L-Co-R algorithm.
Neurocomputing
Elisabet Parras-Gutierrez, Víctor M. Rivas, Maribel García Arenas, María José del Jesus
2014 J jnl
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets.
Appl. Soft Comput.
M. Dolores Pérez-Godoy, Antonio J. Rivera, Cristóbal J. Carmona, María José del Jesus
2013 Misc conf
A First Approach to Deal with Imbalance in Multi-label Datasets.
HAIS
Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera
2013 B conf
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments.
IJCNN
M. Dolores Pérez-Godoy, Antonio J. Rivera, María José del Jesus, Francisco Martínez
2013 J jnl
A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets.
Knowl. Based Syst.
Victoria López, Alberto Fernández, María José del Jesus, Francisco Herrera
2013 — conf
Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks.
IWANN (1)
Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy, María José del Jesus
2013 — conf
An evolutionary fuzzy system for the detection of exceptions in subgroup discovery.
IFSA/NAFIPS
Cristóbal J. Carmona, Pedro González, María José del Jesus, B. García-Domingo, Jorge Aguilera
2013 J jnl
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches.
Knowl. Based Syst.
Alberto Fernández, Victoria López, Mikel Galar, María José del Jesus, Francisco Herrera
2013 J jnl
Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks.
Expert Syst. Appl.
Antonio J. Rivera, B. García-Domingo, María José del Jesus, Jorge Aguilera
2013 J jnl
Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm.
Appl. Soft Comput.
Cristóbal J. Carmona, Charalambos Chrysostomou, Huseyin Seker, María José del Jesus
2013 J jnl
MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology.
Knowl. Based Syst.
Cristóbal J. Carmona, Pedro González, B. García-Domingo, María José del Jesus, Jorge Aguilera
2012 — conf
A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO
SOCO
Antonio J. Rivera, B. García-Domingo, María José del Jesus, Jorge Aguilera
2012 B conf
A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery.
FUZZ-IEEE
Cristóbal J. Carmona, Julián Luengo, Pedro González, María José del Jesus
2012 J jnl
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery.
Expert Syst. Appl.
Cristóbal J. Carmona, Julián Luengo, Pedro González, María José del Jesus
2012 J jnl
Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm.
Soft Comput.
Elisabet Parras-Gutierrez, Maribel García Arenas, Víctor M. Rivas, María José del Jesus
2012 — conf
Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations.
ICPRAM (2)
Victoria López, Alberto Fernández, María José del Jesus, Francisco Herrera
2012 J jnl
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD.
Int. J. Comput. Intell. Syst.
Cristóbal J. Carmona, Pedro González, María José Gacto, María José del Jesus
2012 — conf
Improving Multi-label Classifiers via Label Reduction with Association Rules.
HAIS (2)
Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera
2012 — conf
Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com.
ICEIS (2)
Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García
2012 J jnl
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com.
Expert Syst. Appl.
Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García
2011 — conf
A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price.
CAEPIA
Antonio Jesús Rivera Rivas, M. Dolores Pérez-Godoy, María José del Jesus, Pedro Pérez-Recuerda, María Pilar Frías, Manuel Parras
2011 J jnl
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods.
Appl. Intell.
Antonio Jesús Rivera Rivas, Pedro Pérez-Recuerda, M. Dolores Pérez-Godoy, María José del Jesus, María Pilar Frías, Manuel Parras
2011 J jnl
An overview on subgroup discovery: foundations and applications.
Knowl. Inf. Syst.
Francisco Herrera, Cristóbal J. Carmona, Pedro González, María José del Jesus
2011 — conf
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD.
GEFS
Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera
2011 J jnl
Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department.
Soft Comput.
Cristóbal J. Carmona, Pedro González, María José del Jesus, Mercedes Navío-Acosta, L. Jiménez-Trevino
2011 — conf
Multi-label Testing for CO
IWANN (1)
Antonio Jesús Rivera Rivas, Francisco Charte, M. Dolores Pérez-Godoy, María José del Jesus
2011 J jnl
On the discovery of association rules by means of evolutionary algorithms.
WIREs Data Mining Knowl. Discov.
María José del Jesus, José A. Gámez, Pedro González, José M. Puerta
2010 B conf
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design.
IJCNN
M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Cristóbal J. Carmona, María José del Jesus
2010 — conf
Analysing the Hierarchical Fuzzy Rule Based Classification Systems with genetic rule selection.
GEFS
Alberto Fernández, María José del Jesus, Francisco Herrera
2010 J jnl
Analysis of an evolutionary RBFN design algorithm, CO
Pattern Recognit. Lett.
M. Dolores Pérez-Godoy, Alberto Fernández, Antonio Jesús Rivera Rivas, María José del Jesus
2010 J jnl
CO
Int. J. Hybrid Intell. Syst.
M. Dolores Pérez-Godoy, Pedro Pérez-Recuerda, Antonio Jesús Rivera Rivas, María José del Jesus, Cristóbal J. Carmona, María Pilar Frías, Manuel Parras
2010 J jnl
CO
Soft Comput.
M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Francisco José Berlanga, María José del Jesus
2010 J jnl
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems.
Inf. Sci.
Francisco José Berlanga, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera
2010 — conf
Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market.
IEA/AIE (1)
M. Dolores Pérez-Godoy, Pedro Pérez-Recuerda, Antonio Jesús Rivera Rivas, María José del Jesus, María Pilar Frías, Manuel Parras
2010 C conf
Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning.
IPMU
Alberto Fernández, María José del Jesus, Francisco Herrera
2010 J jnl
NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery.
IEEE Trans. Fuzzy Syst.
Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera
2010 J jnl
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets.
Inf. Sci.
Alberto Fernández, María José del Jesus, Francisco Herrera
2009 — conf
A Preliminar Analysis of CO2RBFN in Imbalanced Problems.
IWANN (1)
M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Alberto Fernández, María José del Jesus, Francisco Herrera
2009 B conf
An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery.
FUZZ-IEEE
Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera
2009 — conf
Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification.
IWANN (2)
Elisabet Parras-Gutierrez, Víctor M. Rivas, María José del Jesus, Juan Julián Merelo Guervós
2009 C conf
E-tsRBF: Preliminary Results on the Simultaneous Determination of Time-Lags and Parameters of Radial Basis Function Neural Networks for Time Series Forecasting.
ISDA
Elisabet Parras-Gutierrez, Víctor M. Rivas, María José del Jesus
2009 — conf
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design.
IWANN (1)
Pedro L. López, Antonio Jesús Rivera Rivas, M. Dolores Pérez-Godoy, María José del Jesus, Cristóbal J. Carmona
2009 J jnl
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data.
Expert Syst. Appl.
Cristóbal Romero, Pedro González, Sebastián Ventura, María José del Jesus, Francisco Herrera
2009 J jnl
Evolutionary and metaheuristics based data mining.
Soft Comput.
María José del Jesus, José A. Gámez, José M. Puerta
2009 — conf
Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets.
IFSA/EUSFLAT Conf.
Alberto Fernández, Francisco José Berlanga, María José del Jesus, Francisco Herrera
2009 J jnl
Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets.
Int. J. Approx. Reason.
Alberto Fernández, María José del Jesus, Francisco Herrera
2009 — conf
Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System.
IWANN (1)
Alberto Fernández, María José del Jesus, Francisco Herrera
2009 J jnl
KEEL: a software tool to assess evolutionary algorithms for data mining problems.
Soft Comput.
Jesús Alcalá-Fdez, Luciano Sánchez, Salvador García, María José del Jesus, Sebastián Ventura, Josep Maria Garrell i Guiu, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández, Francisco Herrera
2009 Misc conf
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery.
HAIS
Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera
2009 J jnl
On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets.
Expert Syst. Appl.
Alberto Fernández, María José del Jesus, Francisco Herrera
2009 — conf
Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms.
IWANN (1)
Maribel García Arenas, Elisabet Parras-Gutierrez, Víctor M. Rivas, Pedro A. Castillo, María José del Jesus, Juan Julián Merelo Guervós
2008 C conf
A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets.
HIS
Alberto Fernández, María José del Jesus, Francisco Herrera
2008 Misc conf
A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design.
DCAI
Elisabet Parras-Gutierrez, María José del Jesus, Juan Julián Merelo Guervós, Víctor M. Rivas
2008 — conf
A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems.
GEFS
Francisco José Berlanga, María José del Jesus, Francisco Herrera
2008 J jnl
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets.
Fuzzy Sets Syst.
Alberto Fernández, Salvador García, María José del Jesus, Francisco Herrera
2008 C conf
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market.
HIS
Pedro Pérez-Recuerda, María Pilar Frías, M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, María José del Jesus, Elisabet Parras-Gutierrez, F. J. Torres
2008 Misc conf
Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm.
HAIS
Elisabet Parras-Gutierrez, Víctor M. Rivas, María José del Jesus
2008 — conf
KEEL: A data mining software tool integrating genetic fuzzy systems.
GEFS
Jesús Alcalá-Fdez, Salvador García, Francisco José Berlanga, Alberto Fernández, Luciano Sánchez, María José del Jesus, Francisco Herrera
2008 C conf
Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design.
HIS
Elisabet Parras-Gutierrez, María José del Jesus, Víctor M. Rivas, Juan Julián Merelo Guervós
2008 — ch.
Subgroup Discovery with Linguistic Rules.
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models
María José del Jesus, Pedro González, Francisco Herrera
2008 Misc conf
Techniques of Engineering Applied to a Non-structured Data Model.
DCAI
Cristóbal J. Carmona, María José del Jesus, Pablo Guerrero, Reyes Peña-Santiago, Víctor M. Rivas
2007 Misc conf
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
Alberto Fernández, Salvador García, María José del Jesus, Francisco Herrera
2007 J jnl
A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks.
Soft Comput.
Antonio Jesús Rivera Rivas, Ignacio Rojas, Julio Ortega Lopera, María José del Jesus
2007 — conf
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
Alberto Fernández, Salvador García, Francisco Herrera, María José del Jesus
2007 Misc conf
CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm.
IWANN
M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, María José del Jesus, Ignacio Rojas
2007 J jnl
Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing.
IEEE Trans. Fuzzy Syst.
María José del Jesus, Pedro González, Francisco Herrera, Mikel Mesonero
2007 — conf
Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules.
MCDM
María José del Jesus, Pedro González, Francisco Herrera
2007 B conf
Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule-based Classification Systems.
FUZZ-IEEE
Jose Joaquin Aguilera, Manuel Chica, María José del Jesus, Francisco Herrera
2007 J jnl
Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off.
Int. J. Approx. Reason.
Jorge Casillas, Francisco Herrera, Raúl Pérez, María José del Jesus, Pedro Villar
2006 Misc conf
A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems.
ICAISC
Francisco José Berlanga, María José del Jesus, María José Gacto, Francisco Herrera
2006 A* conf
Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing.
ICDM
Francisco José Berlanga, María José del Jesus, Pedro González, Francisco Herrera, Mikel Mesonero
2005 — ch.
Evolutionary Induction of Descriptive Rules in a Market Problem.
Intelligent Data Mining
María José del Jesus, Pedro González, Francisco Herrera, Mikel Mesonero
2005 J jnl
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction.
IEEE Trans. Fuzzy Syst.
Jorge Casillas, Oscar Cordón, María José del Jesus, Francisco Herrera
2005 — conf
Learning compact fuzzy rule-based classification systems with genetic programming.
EUSFLAT Conf.
Francisco José Berlanga, María José del Jesus, Francisco Herrera
2004 J jnl
Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms.
IEEE Trans. Fuzzy Syst.
María José del Jesus, Frank Hoffmann, Luis Junco Navascués, Luciano Sánchez
2003 — conf
Co-evolutionary Algorithm for RBF by Self-Organizing Population of Neurons.
IWANN (1)
Antonio Jesús Rivera Rivas, Julio Ortega, Ignacio Rojas, María José del Jesus
2002 J jnl
Some relationships between fuzzy and random set-based classifiers and models.
Int. J. Approx. Reason.
Luciano Sánchez, Jorge Casillas, Oscar Cordón, María José del Jesus
2001 — conf
Feature Selection Algorithms Applied to Parkinson's Disease.
ISMDA
M. Navío, Jose Joaquin Aguilera, María José del Jesus, R. González, Francisco Herrera, C. Iríbar
2001 J jnl
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems.
Inf. Sci.
Jorge Casillas, Oscar Cordón, María José del Jesus, Francisco Herrera
1999 J jnl
A proposal on reasoning methods in fuzzy rule-based classification systems.
Int. J. Approx. Reason.
Oscar Cordón, María José del Jesus, Francisco Herrera
1999 J jnl
MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach.
Int. J. Intell. Syst.
Oscar Cordón, María José del Jesus, Francisco Herrera, Manuel Lozano
1998 J jnl
Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods.
Int. J. Intell. Syst.
Oscar Cordón, María José del Jesus, Francisco Herrera
1998 J jnl
Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas.
Inteligencia Artif.
Oscar Cordón, María José del Jesus, Francisco Herrera, Manuel Lozano