Antonio Jesús Rivera Rivas

Category

Doctor

Contact

arivera@ujaenmNdUGXISua10.es

Organismo

UJA

Researcher Profile

Total From 2015:
Citas Total: 1151 From 2015: 912
Índice H Total: 18 From 2015: 16
Índice i10 Total: 26 From 2015: 23

Papers (87)

Title Authors Year
EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search F Charte, AJ Rivera, F Martínez, MJ del Jesus. 2020
A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops AJ Rivera, MD Pérez-Godoy, D Elizondo, L Deka, MJ del Jesus. 2020
Dealing with difficult minority labels in imbalanced mutilabel data sets F Charte, AJ Rivera, MJ del Jesus, F Herrera. 2019
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization F Charte, AJ Rivera, MJ del Jesus, F Herrera. 2019
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, Tips and guidelines. FJ Pulgar, F Charte, AJ Rivera, MJ del Jesus. 2019
Automatic Time Series Forecasting with GRNN: A Comparison with Other Models F Martínez, F Charte, AJ Rivera, MP Frías. 2019
Automating Autoencoder Architecture Configuration: An Evolutionary Approach F Charte, AJ Rivera, F Martínez, MJ del Jesus. 2019
predtoolsTS: R package for streamlining time series forecasting F Charte, A Vico, MD Pérez-Godoy, AJ Rivera. 2019
Time Series Forecasting with KNN in R: the tsfknn Package F Martínez, MP Frías, F Charte, AJ Rivera. 2019
Tips, guidelines and tools for managing multi-label datasets: The mldr. datasets R package and the Cometa data repository F Charte, AJ Rivera, D Charte, MJ del Jesus, F Herrera. 2018
AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction FJ Pulgar, F Charte, AJ Rivera, MJ del Jesus. 2018
Nuevas arquitecturas hardware de procesamiento de alto rendimiento para aprendizaje profundo AJ Rivera, F Charte, M Espinilla, MD Pérez-Godoy. 2018
A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders FJ Pulgar, F Charte, AJ Rivera, MJ del Jesus. 2018
Una primera aproximacion a la prediccion de variables turısticas con Deep Learning D Trujillo, AJ Rivera, F Charte, MJ del Jesus. 2018
Análisis del impacto de datos desbalanceados en el rendimiento predictivo de redes neuronales convolucionales FJ Pulgar, AJ Rivera, F Charte, MJ del Jesus. 2018
Dealing with seasonality by narrowing the training set in time series forecasting with kNN F Martínez, MP Frías, MD Pérez-Godoy, AJ Rivera. 2018
MEFASD-BD: multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments-a MapReduce solution F Pulgar-Rubio, AJ Rivera-Rivas, MD Pérez-Godoy, P González, .... 2017
On the impact of imbalanced data in convolutional neural networks performance FJ Pulgar, AJ Rivera, F Charte, MJ del Jesus. 2017
Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass F Charte, I Romero, MD Pérez-Godoy, AJ Rivera, E Castro. 2017
Evolución tecnológica del hardware de vídeo y las GPU en los ordenadores personales FC Ojeda, AJ Rueda, M Espinilla, AJR Riva. 2017
Uso de dispositivos FPGA como apoyo a la ensenanza de asignaturas de arquitectura de computadores FC Ojeda, M Espinilla, AJR Riva, FJP Rubio. 2017
A methodology for applying k-nearest neighbor to time series forecasting F Martínez, MP Frías, MD Pérez, AJ Rivera. 2017
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach CJ Carmona, F Pulgar, AJ Rivera-Rivas, MJ del Jesus, J Aguilera. 2016
R ultimate multilabel dataset repository F Charte, D Charte, A Rivera, MJ del Jesus, F Herrera. 2016
On the impact of dataset complexity and sampling strategy in multilabel classifiers performance F Charte, A Rivera, MJ del Jesus, F Herrera. 2016
Recognition of activities in resource constrained environments; reducing the computational complexity M Espinilla, A Rivera, MD Pérez-Godoy, J Medina, L Martínez, C Nugent. 2016
Ensemble-based classifiers F Herrera, F Charte, AJ Rivera, MJ del Jesus. 2016
Gamificación en procesos de autoentrenamiento y autoevaluación. Experiencia en la asignatura de Arquitectura de Computadores M Espinilla, A Fernández, J Santamaría, AJ Rivera Rivas. 2016
Explotación de la potencia de procesamiento mediante paralelismo: un recorrido histórico hasta la GPGPU F Charte Ojeda, AJR Riva, FJP Rubio, MJ del Jesús Díaz. 2016
Case Studies and Metrics F Herrera, F Charte, AJ Rivera, MJ del Jesus. 2016
Transformation-Based Classifiers F Herrera, F Charte, AJ Rivera, MJ del Jesus. 2016
Dimensionality Reduction F Herrera, F Charte, AJ Rivera, MJ del Jesus. 2016
Multilabel Software F Herrera, F Charte, AJ Rivera, MJ del Jesus. 2016
Imbalance in Multilabel Datasets F Herrera, F Charte, AJ Rivera, MJ del Jesus. 2016
Adaptation-Based Classifiers F Herrera, F Charte, AJ Rivera, MJ del Jesus. 2016
Multilabel classification F Herrera, F Charte, AJ Rivera, MJ Del Jesus. 2016
Multilabel Classification: Problem Analysis, Metrics and Techniques F Herrera, F Charte, AJ Rivera, MJ del Jesus. 2016
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions B García-Domingo, CJ Carmona, AJ Rivera-Rivas, MJ del Jesús, .... 2015
Una primera aproximación al descubrimiento de subgrupos bajo el paradigma MapReduce F Pulgar-Rubio, CJ Carmona, AJ Rivera-Rivas, P González, MJ del Jesus. 2015
Addressing imbalance in multilabel classification: Measures and random resampling algorithms F Charte, AJ Rivera, MJ del Jesus, F Herrera. 2015
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation F Charte, AJ Rivera, MJ del Jesus, F Herrera. 2015
QUINTA: a question tagging assistant to improve the answering ratio in electronic forums F Charte, AJ Rivera, MJ del Jesus, F Herrera. 2015
Resampling multilabel datasets by decoupling highly imbalanced labels F Charte, A Rivera, MJ del Jesus, F Herrera. 2015
CORBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design MD Pérez-Godoy, AJ Rivera, F Charte, MJ del Jesus. 2015
GenRBFNSpark: A first implementation in Spark of a genetic algorithm to RBFN design AJ Rivera, MD Pérez-Godoy, F Pulgar, MJ del Jesus. 2015
Training algorithms for radial basis function networks to tackle learning processes with imbalanced data-sets MD Pérez-Godoy, AJ Rivera, CJ Carmona, MJ del Jesús. 2014
Concurrence among imbalanced labels and its influence on multilabel resampling algorithms F Charte, A Rivera, MJ del Jesus, F Herrera. 2014
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification F Charte, AJ Rivera, MJ Del Jesus, F Herrera. 2014
MLeNN: a first approach to heuristic multilabel undersampling F Charte, AJ Rivera, MJ del Jesus, F Herrera. 2014
Propuesta de una asignatura de Diseño de Servidores para la especialidad de Tecnologías de Información AJ Rivera Rivas, M Espinilla, A Fernández Hilario, J Santamaría López, .... 2014
A first approach to deal with imbalance in multi-label datasets F Charte, A Rivera, MJ del Jesus, F Herrera. 2013
Characterization of concentrating photovoltaic modules by cooperative competitive radial basis function networks AJ Rivera, B García-Domingo, MJ Del Jesus, J Aguilera. 2013
A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO2RBFN AJ Rivera, B García-Domingo, MJ del Jesus, J Aguilera. 2013
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments MD Pérez-Godoy, AJ Rivera, MJ Del Jesus, F Martínez. 2013
Improving multi-label classifiers via label reduction with association rules F Charte, A Rivera, MJ del Jesus, F Herrera. 2012
Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification AJ Rivera, F Charte, MD Pérez-Godoy, MJ del Jesus. 2011
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods AJ Rivera, P Pérez-Recuerda, MD Pérez-Godoy, MJ Del Jesús, MP Frías, .... 2011
A summary on the study of the medium-term forecasting of the extra-virgen olive oil price AJ Rivera, MD Pérez-Godoy, MJ Del Jesus, P Pérez-Recuerda, MP Frías, .... 2011
CO2RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price MD Pérez-Godoy, P Pérez-Recuerda, MP Frías, AJ Rivera, CJ Carmona, .... 2010
CO 2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market MD Pérez-Godoy, P Pérez, AJ Rivera, MJ del Jesús, CJ Carmona, .... 2010
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design MD Pérez-Godoy, AJ Rivera, CJ Carmona, MJ del Jesus. 2010
Potenciando el aprendizaje proactivo con ILIAS&WebQuest: aprendiendo a paralelizar algoritmos con GPUs J Santamaría, M Espinilla, AJ Rivera, S Romero. 2010
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems FJ Berlanga, AJ Rivera, MJ del Jesús, F Herrera. 2010
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets MD Pérez-Godoy, A Fernández, AJ Rivera, MJ del Jesus. 2010
CO2RBFN: an evolutionary cooperative–competitive RBFN design algorithm for classification problems MD Perez-Godoy, AJ Rivera, FJ Berlanga, MJ Del Jesus. 2010
Co2rbfn: predicción de series temporales con un enfoque cooperativo-̃́ competitivo M Pérez-Godoy, P Pérez, A Rivera, M Del Jesus, PL López. 2010
Intelligent systems in long-term forecasting of the extra-virgin olive oil price in the Spanish market MD Pérez-Godoy, P Pérez, AJ Rivera, MJ del Jesús, MP Frías, M Parras. 2010
Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem A Guillén, G Rubio, I Toda, A Rivera, H Pomares, I Rojas. 2010
Mejoras en el diseño multiobjetivo de redes de funciones de base radial PL López, AJ Rivera, CJ Carmona, MD Pérez-Godoy. 2010
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design PL López, AJ Rivera, MD Pérez-Godoy, MJ del Jesus, C Carmona. 2009
A Preliminar Analysis of CO2RBFN in Imbalanced Problems MD Pérez-Godoy, AJ Rivera, A Fernández, MJ del Jesús, F Herrera. 2009
Adaptación de una asignatura avanzada de redes de computadores al modelo de docencia virtual dentro del marco del Espacio Europeo de Educación Superior AJ Rivera, CJ Carmona, MD Pérez-Godoy, MJ del Jesus. 2009
A preliminary study of the effect of feature selection in evolutionary RBFN design MD Perez-Godoy, JJ Aguilera, FJ Berlanga, VM Rivas, AJ Rivera. 2008
An study on data mining methods for short-term forecasting of the extra virgin olive oil price in the Spanish market P Pérez, MP Frías, MD Pérez-Godoy, AJ Rivera, MJ del Jesús, M Parras, .... 2008
A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks AJ Rivera, I Rojas, J Ortega, MJ del Jesús. 2007
CoEvRBFN: an approach to solving the classification problem with a hybrid cooperative-coevolutive algorithm MD Pérez-Godoy, AJ Rivera, MJ Del Jesus, I Rojas. 2007
Optimización de CoEvRBF para aumentar su eficiencia en tareas de clasificación MD PérezYGodoy, AJ Rivera, MJJI Rojas. 2007
Application of ANOVA to a cooperative-coevolutionary optimization of RBFNs AJ Rivera, I Rojas, J Ortega. 2005
Co-evolutionary algorithm for RBF by self-organizing population of neurons AJ Rivera, J Ortega, I Rojas, MJ del Jesús. 2003
Diseño y optimización de redes de funciones de base radial mediante técnicas bioinspiradas AJ Rivera Rivas. 2003
Aproximación de funciones con evolución difusa mediante cooperación y competición de RBFs A Rivera, J Ortega, MJ del Jesus, J González. 2002
Optimizing RBF networks with cooperative/competitive evolution of units and fuzzy rules AJ Rivera, J Ortega, I Rojas, A Prieto. 2001
Design of RBF networks by cooperative/competitive evolution of units AJ Rivera, J Ortega, A Prieto. 2001
Learning and Other Plasticity Phenomena, and Complex Systems Dynamics-Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules AJ Rivera, J Ortega, I Rojas, A Prieto. 2001

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