Publicaciones Orcid CEATIC

nets4learning: a web platform for designing and testing ann/dnn models

journal-article

doi 10.3390/electronics13224378

eid

2024

desreg: dynamic ensemble selection library for regression tasks

journal-article

doi 10.1016/j.neucom.2024.127487

eid

2024

analysis of transformer model applications

book-chapter

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

eid

2023

xaire: an ensemble-based methodology for determining the relative importance of variables in regression tasks. application to a hospital emergency department

journal-article

doi 10.1016/j.artmed.2023.102494

eid

2023

nospcimen: a first approach to unsupervised discarding of empty photo trap images

book-chapter

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

eid

2023

time series forecasting by generalized regression neural networks trained with multiple series

journal-article

doi 10.1109/ACCESS.2022.3140377

eid

2022

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

journal-article

doi 10.1016/j.inffus.2019.07.004

eid 2-s2.0-85069698850

2020

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

journal-article

doi 10.1007/s10462-017-9593-z

eid

2019

a first approximation to the effects of classical time series preprocessing methods on lstm accuracy

book

doi 10.1007/978-3-030-20521-8_23

eid 2-s2.0-85067454211

2019

automatic time series forecasting with grnn: a comparison with other models

book

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

eid 2-s2.0-85067499231

2019

automating autoencoder architecture configuration: an evolutionary approach

book

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

eid 2-s2.0-85065895119

2019

dealing with difficult minority labels in imbalanced mutilabel data sets

journal-article

doi 10.1016/j.neucom.2016.08.158

eid 2-s2.0-85029618729

2019

remedial-hwr: tackling multilabel imbalance through label decoupling and data resampling hybridization

journal-article

doi 10.1016/j.neucom.2017.01.118

eid 2-s2.0-85029575439

2019

predtoolsts: r package for streamlining time series forecasting

journal-article

doi 10.1007/s13748-019-00193-z

eid 2-s2.0-85067250925

2019

a first approach to face dimensionality reduction through denoising autoencoders

book

doi 10.1007/978-3-030-03493-1_46

eid 2-s2.0-85057071604

2018

aeknn: an autoencoder knn–based classifier with built-in dimensionality reduction

journal-article

doi 10.2991/ijcis.2018.125905686

eid 2-s2.0-85066340097

2018

dealing with seasonality by narrowing the training set in time series forecasting with knn

journal-article

doi 10.1016/j.eswa.2018.03.005

eid 2-s2.0-85043460486

2018

tips, guidelines and tools for managing multi-label datasets: the mldr.datasets r package and the cometa data repository

journal-article

doi 10.1016/j.neucom.2018.02.011

eid 2-s2.0-85042128332

2018

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

journal-article

doi 10.1016/j.compchemeng.2017.02.008

eid 2-s2.0-85014093400

2017

on the impact of imbalanced data in convolutional neural networks performance

book

doi 10.1007/978-3-319-59650-1_19

eid 2-s2.0-85021778345

2017

mefasd-bd: multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - a mapreduce solution

journal-article

doi 10.1016/j.knosys.2016.08.021

eid 2-s2.0-84994174430

2017

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

book

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

eid 2-s2.0-85009786854

2016

estimating the maximum power delivered by concentrating photovoltaics technology through atmospheric conditions using a differential evolution approach

book

doi 10.1007/978-3-319-32034-2_23

eid 2-s2.0-84964007917

2016

multilabel classification: problem analysis, metrics and techniques

book

doi 10.1007/978-3-319-41111-8

eid 2-s2.0-85006335487

2016

on the impact of dataset complexity and sampling strategy in multilabel classifiers performance

book

doi 10.1007/978-3-319-32034-2_42

eid 2-s2.0-84964054564

2016

r ultimate multilabel dataset repository

book

doi 10.1007/978-3-319-32034-2_41

eid 2-s2.0-84964054493

2016

a differential evolution proposal for estimating the maximum power delivered by cpv modules under real outdoor conditions

journal-article

doi 10.1016/j.eswa.2015.02.032

eid 2-s2.0-84926643988

2015

addressing imbalance in multilabel classification: measures and random resampling algorithms

journal-article

doi 10.1016/j.neucom.2014.08.091

eid 2-s2.0-84930273620

2015

co<sup>2</sup>rbfn-cs: first approach introducing cost-sensitivity in the cooperative-competitive rbfn design

book

doi 10.1007/978-3-319-19258-1_31

eid 2-s2.0-84937400529

2015

mlsmote: approaching imbalanced multilabel learning through synthetic instance generation

journal-article

doi 10.1016/j.knosys.2015.07.019

eid 2-s2.0-84944354565

2015

quinta: a question tagging assistant to improve the answering ratio in electronic forums

conference-paper

doi 10.1109/EUROCON.2015.7313677

eid 2-s2.0-84961695915

2015

resampling multilabel datasets by decoupling highly imbalanced labels

conference-paper

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

eid 2-s2.0-84932146148

2015

concurrence among imbalanced labels and its influence on multilabel resampling algorithms

book

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

eid 2-s2.0-84902509247

2014

li-mlc: a label inference methodology for addressing high dimensionality in the label space for multilabel classification

journal-article

doi 10.1109/TNNLS.2013.2296501

eid 2-s2.0-84907817318

2014

mlenn: a first approach to heuristic multilabel undersampling

book

doi 10.1007/978-3-319-10840-7-1

eid 2-s2.0-84906347859

2014

training algorithms for radial basis function networks to tackle learning processes with imbalanced data-sets

journal-article

doi 10.1016/j.asoc.2014.09.011

eid 2-s2.0-84907532927

2014

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

conference-paper

doi 10.1109/IJCNN.2013.6706973

eid 2-s2.0-84893601045

2013

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

book

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

eid 2-s2.0-84884913245

2013

characterization of concentrating photovoltaic modules by cooperative competitive radial basis function networks

journal-article

doi 10.1016/j.eswa.2012.09.016

eid 2-s2.0-84872038963

2013

a performance study of concentrating photovoltaic modules using neural networks: an application with co<sup>2</sup>rbfn

book

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

eid 2-s2.0-84868286270

2013

improving multi-label classifiers via label reduction with association rules

book

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

eid 2-s2.0-84858826037

2012

a summary on the study of the medium-term forecasting of the extra-virgen olive oil price

book

doi 10.1007/978-3-642-25274-7_27

eid 2-s2.0-81055147979

2011

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

journal-article

doi 10.1007/s10489-011-0284-1

eid 2-s2.0-79956151060

2011

intelligent systems in long-term forecasting of the extra-virgin olive oil price in the spanish market

book

doi 10.1007/978-3-642-13022-9_21

eid 2-s2.0-79551534856

2010

gp-coach: genetic programming-based learning of compact and accurate fuzzy rule-based classification systems for high-dimensional problems

journal-article

doi 10.1016/j.ins.2009.12.020

eid 2-s2.0-75149139352

2010

a preliminary study on mutation operators in cooperative competitive algorithms for rbfn design

conference-paper

doi 10.1109/IJCNN.2010.5596330

eid 2-s2.0-79959410025

2010

applying multiobjective rbfnns optimization and feature selection to a mineral reduction problem

journal-article

doi 10.1016/j.eswa.2009.11.056

eid 2-s2.0-77549084650

2010

emorbfn: an evolutionary multiobjetive optimization algorithm for rbfn design

book

doi 10.1007/978-3-642-02478-8_94

eid 2-s2.0-68849096585

2009

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

conference-paper

doi 10.1109/HIS.2008.132

eid 2-s2.0-55349083362

2008

coevrbfn: an approach to solving the classification problem with a hybrid cooperative-coevolutive algorithm

book

doi 2-s2.0-38049174812

eid

2007

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

journal-article

doi 10.1007/s00500-006-0128-9

eid 2-s2.0-33847224122

2007

application of anova to a cooperative-coevolutionary optimization of rbfns

conference-paper

doi 2-s2.0-25144441164

eid

2005

co-evolutionary algorithm for rbf by self-organizing population of neurons

book

doi 2-s2.0-25144519494

eid

2003

optimizing rbf networks with cooperative/competitive evolution of units and fuzzy rules

book

doi 2-s2.0-84902140554

eid

2001

Perfil

Rivera Rivas, Antonio Jesús

Publicaciones

nets4learning: a web platform for designing and testing ann/dnn models

desreg: dynamic ensemble selection library for regression tasks

analysis of transformer model applications

xaire: an ensemble-based methodology for determining the relative importance of variables in regression tasks. application to a hospital emergency department

nospcimen: a first approach to unsupervised discarding of empty photo trap images

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

a first approximation to the effects of classical time series preprocessing methods on lstm accuracy

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

remedial-hwr: tackling multilabel imbalance through label decoupling and data resampling hybridization

predtoolsts: r package for streamlining time series forecasting

a first approach to face dimensionality reduction through denoising autoencoders

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

on the impact of imbalanced data in convolutional neural networks performance

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

estimating the maximum power delivered by concentrating photovoltaics technology through atmospheric conditions using a differential evolution approach

multilabel classification: problem analysis, metrics and techniques

on the impact of dataset complexity and sampling strategy in multilabel classifiers performance

r ultimate multilabel dataset repository

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

co&lt;sup&gt;2&lt;/sup&gt;rbfn-cs: first approach introducing cost-sensitivity in the cooperative-competitive rbfn design

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

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 co<sup>2</sup>rbfn

improving multi-label classifiers via label reduction with association rules

a summary on the study of the medium-term forecasting of the extra-virgen olive oil price

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

intelligent systems in long-term forecasting of the extra-virgin olive oil price in the spanish market

gp-coach: genetic programming-based learning of compact and accurate fuzzy rule-based classification systems for high-dimensional problems

a preliminary study on mutation operators in cooperative competitive algorithms for rbfn design

applying multiobjective rbfnns optimization and feature selection to a mineral reduction problem

emorbfn: an evolutionary multiobjetive optimization algorithm for rbfn design

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

coevrbfn: an approach to solving the classification problem with a hybrid cooperative-coevolutive algorithm

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

application of anova to a cooperative-coevolutionary optimization of rbfns

co-evolutionary algorithm for rbf by self-organizing population of neurons

optimizing rbf networks with cooperative/competitive evolution of units and fuzzy rules

co<sup>2</sup>rbfn-cs: first approach introducing cost-sensitivity in the cooperative-competitive rbfn design