Antonio Jesús Rivera Rivas

Category

PhD

Contact

arivera@ujaencr_8zl@j.es

Organization

UJA

Researcher Profile

Total From 2017:
Citas Total: 1857 From 2017: 1443
Índice H Total: 23 From 2017: 20
Índice i10 Total: 34 From 2017: 29

Papers (97)

Title Authors Year
Time Series Forecasting by Generalized Regression Neural Networks Trained with Multiple Series F Martínez, MP Frías, MD Pírez-Godoy, AJ Rivera. 2022
Analysis of clustering methods for crop type mapping using satellite imagery AJ Rivera, MD Pérez-Godoy, D Elizondo, L Deka, MJ del Jesus. 2022
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders FJ Pulgar, F Charte, AJ Rivera, MJ del Jesus. 2021
ENGAGING PHARMACIES TO INCREASE ADHERENCE FOR MEDICARE MEMBERS A Rivera, J Gonzalez, L Lorenzo, K Ocasio, J Mateo. 2021
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
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. 2020
El ecosistema de aprendizaje del estudiante universitario en la post-pandemia. Metodologías y herramientas F Charte Ojeda, AJ Rivera Rivas, J Medina, M Espinilla Estevez. 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
A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy DT Viedma, AJR Rivas, FC Ojeda, MJ del Jesus Díaz. 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
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 Transformation Approach Towards Big Data Multilabel Decision Trees AJR Rivas, FC Ojeda, FJ Pulgar, MJ del Jesus. 2017
A methodology for applying k-nearest neighbor to time series forecasting F Martínez, MP Frías, MD Pérez, AJ Rivera. 2017
Modeling the Transformation of Olive Tree Biomass into Bioethanol with Reg-CORBFN FC Ojeda, IR Pulido, AJR Rivas, EC Galiano. 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
Use of protrombin complex concentrates for urgent reversal of dabigatran in the emergency department: a pilot study M Quintana, AM Borobia, A Martinez Virto, S Fabra, A Rivera, .... 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
CO 2 RBFN: an evolutionary cooperative–competitive RBFN design algorithm for classification problems MD Perez-Godoy, AJ Rivera, FJ Berlanga, MJ Del Jesus. 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
La asignatura de Planificación de Sistemas Informáticos en Ingeniería Técnica en Informática de Gestión P González, MD Pérez, AJ Rivera. 1999
Prácticas para una asignatura de Fundamentos de Informática P González, J Ruiz de Miras, MD Pérez, AJ Rivera. 1998

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