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 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)

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)

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)

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)

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)

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)

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)

The influence of noise on the evolutionary fuzzy systems for subgroup discovery. - Julián Luengo; Ángel Miguel García-Vico; M. Dolores Pérez-Godoy; Cristóbal J. Carmona (Soft Comput., 2016)

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)

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)

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)

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

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)

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)

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)

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)

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)

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)