Antonio Jesús Rivera Rivas

Universidad de Jaén

Publicaciones

Preliminary Analysis of Loss Functions in Generative Model Inversion Attacks

2026
book-chapter

10.1007/978-3-032-10489-2_28

DESReg: Dynamic Ensemble Selection library for Regression tasks

Neurocomputing

2024
journal-article

10.1016/j.neucom.2024.127487

Nets4Learning: A Web Platform for Designing and Testing ANN/DNN Models

Electronics

2024
journal-article

10.3390/electronics13224378

Analysis of Transformer Model Applications

2023
book-chapter

10.1007/978-3-031-40725-3_20

NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images

2023
book-chapter

10.1007/978-3-031-43078-7_4

XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department

Artificial Intelligence in Medicine

2023
journal-article

10.1016/j.artmed.2023.102494

Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series

IEEE Access

2022
journal-article

10.1109/ACCESS.2022.3140377

Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines

Information Fusion

2020
journal-article

10.1016/j.inffus.2019.07.004

A methodology for applying k-nearest neighbor to time series forecasting

Artificial Intelligence Review

2019
journal-article

10.1007/s10462-017-9593-z

Automatic Time Series Forecasting with GRNN: A Comparison with Other Models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019
book-chapter

10.1007/978-3-030-20521-8_17

Automating Autoencoder Architecture Configuration: An Evolutionary Approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019
book-chapter

10.1007/978-3-030-19591-5_35

Dealing with difficult minority labels in imbalanced mutilabel data sets

Neurocomputing

2019
journal-article

10.1016/j.neucom.2016.08.158

predtoolsTS: R package for streamlining time series forecasting

Progress in Artificial Intelligence

2019
journal-article

10.1007/s13748-019-00193-z

REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization

Neurocomputing

2019
journal-article

10.1016/j.neucom.2017.01.118

AEkNN: An autoencoder kNN–based classifier with built-in dimensionality reduction

International Journal of Computational Intelligence Systems

2018
journal-article

10.2991/ijcis.2018.125905686

Dealing with seasonality by narrowing the training set in time series forecasting with kNN

Expert Systems with Applications

2018
journal-article

10.1016/j.eswa.2018.03.005

Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository

Neurocomputing

2018
journal-article

10.1016/j.neucom.2018.02.011

Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass

Computers and Chemical Engineering

2017
journal-article

10.1016/j.compchemeng.2017.02.008

MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments – A MapReduce solution

Knowledge-Based Systems

2017
journal-article

10.1016/j.knosys.2016.08.021

Recognition of activities in resource constrained environments; reducing the computational complexity

Ubiquitous Computing and Ambient Intelligence, Ucami 2016, Pt Ii

2016
book-chapter

10.1007/978-3-319-48799-1_8

A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions

Expert Systems with Applications

2015
journal-article

10.1016/j.eswa.2015.02.032

Addressing imbalance in multilabel classification: Measures and random resampling algorithms

Neurocomputing

2015
journal-article

10.1016/j.neucom.2014.08.091

MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation

Knowledge-Based Systems

2015
journal-article

10.1016/j.knosys.2015.07.019

QUINTA: A question tagging assistant to improve the answering ratio in electronic forums

Proceedings - EUROCON 2015

2015
conference-paper

10.1109/EUROCON.2015.7313677

Resampling multilabel datasets by decoupling highly imbalanced labels

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

2015
conference-paper

10.1007/978-3-319-19644-2-41

Resampling multilabel datasets by decoupling highly imbalanced labels

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

2015
conference-paper

10.1007/978-3-319-19644-2_41

Concurrence among imbalanced labels and its influence on multilabel resampling algorithms

Hybrid Artificial Intelligence Systems

2014
other

10.1007/978-3-319-07617-1_10

LI-MLC: A label inference methodology for addressing high dimensionality in the label space for multilabel classification

IEEE Trans. Neural Netw. Learning Syst.

2014
journal-article

10.1109/tnnls.2013.2296501

MLeNN: A first approach to heuristic multilabel undersampling

Intelligent Data Engineering and Automated Learning – IDEAL 2014

2014
other

10.1007/978-3-319-10840-7_1

Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets

Applied Soft Computing Journal

2014
journal-article

10.1016/j.asoc.2014.09.011

A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments

2013
conference-paper

10.1109/IJCNN.2013.6706973

A first approach to deal with imbalance in multi-label datasets

2013
other

10.1007/978-3-642-40846-5_16

Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks

Expert Systems With Applications

2013
journal-article

10.1016/j.eswa.2012.09.016

A performance study of concentrating photovoltaic modules using neural networks: An application with CO²RBFN

7th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO’12)

2012
other

10.1007/978-3-642-32922-7_45

Improving multi-label classifiers via label reduction with association rules

2012
other

10.1007/978-3-642-28931-6_18

A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods

Applied Intelligence

2011
journal-article

10.1007/s10489-011-0284-1

Multi-label testing for CO²RBFN: A first approach to the problem transformation methodology for multi-label classification

11th International Work-Conference on Artificial Neural Networks, IWANN 2011

2011
other

10.1007/978-3-642-21501-8_6

A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design

2010
conference-paper

10.1109/IJCNN.2010.5596330

Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets

Pattern Recognition Letters

2010
journal-article

10.1016/j.patrec.2010.07.010

Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem

2010
journal-article

10.1016/j.eswa.2009.11.056

CO²RBFN: An evolutionary cooperative-competitive RBFN design algorithm for classification problems

Soft Computing

2010
journal-article

10.1007/s00500-009-0488-z

GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems

AUTHORS: Berlanga, FJ, Herrera, F, Rivera, AJ, del Jesus, MJ

Information Sciences

2010
journal-article

10.1016/j.ins.2009.12.020

A Preliminar Analysis of CO2RBFN in Imbalanced Problems

Lecture Notes in Computer Science

2009
journal-article

10.1007/978-3-642-02478-8_8

An study on data mining methods for short-term forecasting of the extra virgin olive oil price in the Spanish market

2008
conference-paper

10.1109/HIS.2008.132

A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks

Soft Computing

2007
journal-article

10.1007/s00500-006-0128-9

Application of ANOVA to a cooperative-coevolutionary optimization of RBFNs

2005
conference-paper

Contacto

arivera@ujaen.es

Antonio Jesús Rivera Rivas

Publicaciones

Preliminary Analysis of Loss Functions in Generative Model Inversion Attacks

DESReg: Dynamic Ensemble Selection library for Regression tasks

Nets4Learning: A Web Platform for Designing and Testing ANN/DNN Models

Analysis of Transformer Model Applications

NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images

XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department

Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series

Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines

A methodology for applying k-nearest neighbor to time series forecasting

Automatic Time Series Forecasting with GRNN: A Comparison with Other Models

Automating Autoencoder Architecture Configuration: An Evolutionary Approach

Dealing with difficult minority labels in imbalanced mutilabel data sets

predtoolsTS: R package for streamlining time series forecasting

REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization

AEkNN: An autoencoder kNN–based classifier with built-in dimensionality reduction

Dealing with seasonality by narrowing the training set in time series forecasting with kNN

Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository

Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass

MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments – A MapReduce solution

Recognition of activities in resource constrained environments; reducing the computational complexity

A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions

Addressing imbalance in multilabel classification: Measures and random resampling algorithms

MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation

QUINTA: A question tagging assistant to improve the answering ratio in electronic forums

Resampling multilabel datasets by decoupling highly imbalanced labels

Resampling multilabel datasets by decoupling highly imbalanced labels

Concurrence among imbalanced labels and its influence on multilabel resampling algorithms

LI-MLC: A label inference methodology for addressing high dimensionality in the label space for multilabel classification

MLeNN: A first approach to heuristic multilabel undersampling

Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets

A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments

A first approach to deal with imbalance in multi-label datasets

Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks

A performance study of concentrating photovoltaic modules using neural networks: An application with CO2RBFN

Improving multi-label classifiers via label reduction with association rules

A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods

Multi-label testing for CO2RBFN: A first approach to the problem transformation methodology for multi-label classification

A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design

Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets

Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem

CO2RBFN: An evolutionary cooperative-competitive RBFN design algorithm for classification problems

GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems

A Preliminar Analysis of CO2RBFN in Imbalanced Problems

An study on data mining methods for short-term forecasting of the extra virgin olive oil price in the Spanish market

A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks

Application of ANOVA to a cooperative-coevolutionary optimization of RBFNs

A performance study of concentrating photovoltaic modules using neural networks: An application with CO²RBFN

Multi-label testing for CO²RBFN: A first approach to the problem transformation methodology for multi-label classification

CO²RBFN: An evolutionary cooperative-competitive RBFN design algorithm for classification problems