Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules. - Antonio Jesús Rivera Rivas; Julio Ortega 001; Ignacio Rojas; Alberto Prieto (IWANN (1), 2001)

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)

Application of ANOVA to a Cooperative-Coevolutionary Optimization of RBFNs. - Antonio Jesús Rivera Rivas; Ignacio Rojas; Julio Ortega 001 (IWANN, 2005)

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)

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)

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)

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)

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)

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)

CO2RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price. - M. Dolores Pérez-Godoy; Pedro Pérez-Recuerda; María Pilar Frías; Antonio Jesús Rivera Rivas; Cristóbal J. Carmona; Manuel Parras (NICSO, 2010)

Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem. - Alberto Guillén; Ginés Rubio; I. Toda; Antonio J. Rivera; Héctor Pomares; Ignacio Rojas Ruiz (Expert Syst. Appl., 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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

MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. - Francisco Charte; Antonio J. Rivera; 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)

Recognition of Activities in Resource Constrained Environments; Reducing the Computational Complexity. - Macarena Espinilla; Antonio J. Rivera; M. Dolores Pérez-Godoy; Javier Medina 001; Luis Martínez 001; Chris D. Nugent (UCAmI (2), 2016)

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)

Modeling the Transformation of Olive Tree Biomass into Bioethanol with Reg-CO ^2 RBFN. - Francisco Charte Ojeda; Inmaculada Romero; Antonio Jesús Rivera Rivas; Eulogio Castro (IWANN (1), 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)

Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass. - Francisco Charte; Inmaculada Romero; María Dolores Pérez-Godoy; Antonio J. Rivera; Eulogio Castro (Comput. Chem. Eng., 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)

Dealing with seasonality by narrowing the training set in time series forecasting with kNN. - Francisco Martínez; María Pilar Frías; María Dolores Pérez-Godoy; Antonio Jesús Rivera (Expert Syst. Appl., 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)

Automatic Time Series Forecasting with GRNN: A Comparison with Other Models. - Francisco Martínez; Francisco Charte; Antonio J. Rivera; María Pilar Frías (IWANN (1), 2019)

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)

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

A methodology for applying k-nearest neighbor to time series forecasting. - Francisco Martínez; María Pilar Frías; María Dolores Pérez-Godoy; Antonio Jesús Rivera (Artif. Intell. Rev., 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)

predtoolsTS: R package for streamlining time series forecasting. - Francisco Charte; Alberto Vico; María Dolores Pérez-Godoy; Antonio J. Rivera (Prog. Artif. Intell., 2019)

Time Series Forecasting with KNN in R: the tsfknn Package. - Francisco Martínez; María Pilar Frías; Francisco Charte; Antonio J. Rivera (R J., 2019)

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)

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)

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)

Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series. - Francisco Martínez; María Pilar Frías; María Dolores Pérez-Godoy; Antonio J. Rivera (IEEE Access, 2022)

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)

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)

DESReg: Dynamic Ensemble Selection library for Regression tasks. - María Dolores Pérez-Godoy; Marta Molina; Francisco Martínez; David A. Elizondo; Francisco Charte; Antonio J. Rivera (Neurocomputing, 2024)

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)