Antonio Jesús Rivera Rivas

Publication Activity (10 Years)

Years Active: 2001-2019
Publications (10 Years): 6

Top Topics

Multi Label Learning

Differential Evolution

Hierarchical Text Categorization

Top Venues

Expert Syst. Appl.

Publications

Daniel Trujillo Viedma, Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, María José del Jesus Díaz
A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy. IWANN (1) (2019)
Daniel Trujillo Viedma, Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, María José del Jesus Díaz
An Approximation to Deep Learning Touristic-Related Time Series Forecasting. IDEAL (1) (2018)
Francisco Javier Pulgar, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy, Pedro González, Cristóbal J. Carmona, María José del Jesus
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution. Knowl. Based Syst. 117 (2017)
Francisco Charte Ojeda, Inmaculada Romero, Antonio Jesús Rivera Rivas, Eulogio Castro
Modeling the Transformation of Olive Tree Biomass into Bioethanol with Reg-CO ^2 RBFN. IWANN (1) (2017)
Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, Francisco Javier Pulgar, María José del Jesus
A Transformation Approach Towards Big Data Multilabel Decision Trees. IWANN (1) (2017)
Cristóbal J. Carmona, Francisco Javier Pulgar, Antonio Jesús Rivera Rivas, María José del Jesus, Jorge Aguilera
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach. HAIS (2016)
B. García-Domingo, Cristóbal J. Carmona, Antonio Jesús Rivera Rivas, María José del Jesus, Jorge Aguilera
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions. Expert Syst. Appl. 42 (13) (2015)
Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera
Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms. HAIS (2014)
Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera
A First Approach to Deal with Imbalance in Multi-label Datasets. HAIS (2013)
Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy, María José del Jesus
Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks. IWANN (1) (2013)
Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera
Improving Multi-label Classifiers via Label Reduction with Association Rules. HAIS (2) (2012)
Antonio Jesús Rivera Rivas, Francisco Charte, M. Dolores Pérez-Godoy, María José del Jesus
RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification. IWANN (1) (2011)
Antonio Jesús Rivera Rivas, Pedro Pérez-Recuerda, M. Dolores Pérez-Godoy, María José del Jesus, María Pilar Frías, Manuel Parras
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods. Appl. Intell. 34 (3) (2011)
Antonio Jesús Rivera Rivas, M. Dolores Pérez-Godoy, María José del Jesus, Pedro Pérez-Recuerda, María Pilar Frías, Manuel Parras
A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price. CAEPIA (2011)
Francisco José Berlanga, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems. Inf. Sci. 180 (8) (2010)
M. Dolores Pérez-Godoy, Pedro Pérez-Recuerda, María Pilar Frías, Antonio Jesús Rivera Rivas, Cristóbal J. Carmona, Manuel Parras
RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price. NICSO (2010)
M. Dolores Pérez-Godoy, Alberto Fernández, Antonio Jesús Rivera Rivas, María José del Jesus
RBFN, for imbalanced data sets. Pattern Recognit. Lett. 31 (15) (2010)
M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Cristóbal J. Carmona, María José del Jesus
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design. IJCNN (2010)
M. Dolores Pérez-Godoy, Pedro Pérez-Recuerda, Antonio Jesús Rivera Rivas, María José del Jesus, Cristóbal J. Carmona, María Pilar Frías, Manuel Parras
RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market. Int. J. Hybrid Intell. Syst. 7 (1) (2010)
M. Dolores Pérez-Godoy, Pedro Pérez-Recuerda, Antonio Jesús Rivera Rivas, María José del Jesus, María Pilar Frías, Manuel Parras
Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market. IEA/AIE (1) (2010)
M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Francisco José Berlanga, María José del Jesus
RBFN: an evolutionary cooperative-competitive RBFN design algorithm for classification problems. Soft Comput. 14 (9) (2010)
M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Alberto Fernández, María José del Jesus, Francisco Herrera
A Preliminar Analysis of CO2RBFN in Imbalanced Problems. IWANN (1) (2009)
Pedro L. López, Antonio Jesús Rivera Rivas, M. Dolores Pérez-Godoy, María José del Jesus, Cristóbal J. Carmona
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design. IWANN (1) (2009)
Pedro Pérez-Recuerda, María Pilar Frías, M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, María José del Jesus, Elisabet Parras-Gutierrez, F. J. Torres
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market. HIS (2008)
M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, María José del Jesus, Ignacio Rojas
CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm. IWANN (2007)
Antonio Jesús Rivera Rivas, Ignacio Rojas, Julio Ortega Lopera, María José del Jesus
A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks. Soft Comput. 11 (7) (2007)
Antonio Jesús Rivera Rivas, Ignacio Rojas, Julio Ortega
Application of ANOVA to a Cooperative-Coevolutionary Optimization of RBFNs. IWANN (2005)
Antonio Jesús Rivera Rivas, Julio Ortega, Ignacio Rojas, María José del Jesus
Co-evolutionary Algorithm for RBF by Self-Organizing Population of Neurons. IWANN (1) (2003)
Antonio Jesús Rivera Rivas, Julio Ortega, Ignacio Rojas, Alberto Prieto
Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules. IWANN (1) (2001)