Publicaciones Orcid CEATIC

morena: empty images detection based on unsupervised reconstruction error analysis

book-chapter

doi 10.1007/978-3-032-02725-2_44

eid

2026

preliminary analysis of loss functions in generative model inversion attacks

book-chapter

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

eid

2026

evaluating preprocessing techniques for calcification morphology classification in mammograms based on convolutional neural networks

book-chapter

doi 10.1007/978-3-032-06401-1_95

eid

2025

desreg: dynamic ensemble selection library for regression tasks

journal-article

doi 10.1016/j.neucom.2024.127487

eid

2024

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

journal-article

doi 10.3390/electronics13224378

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

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

journal-article

doi 10.1109/ACCESS.2022.3140377

eid 2-s2.0-85122586576

2022

implementation of data stream classification neural network models over big data platforms

book

doi 10.1007/978-3-030-85099-9_22

eid 2-s2.0-85115185279

2021

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

journal-article

doi 10.1007/s10462-017-9593-z

eid 2-s2.0-85034648292

2019

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

alternative ova proposals for cooperative competitive rbfn design in classification tasks

journal-article

doi WOS:000324897700032

eid

2013

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

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

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

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

Perfil

Pérez Godoy, Mª Dolores

Publicaciones

morena: empty images detection based on unsupervised reconstruction error analysis

preliminary analysis of loss functions in generative model inversion attacks

evaluating preprocessing techniques for calcification morphology classification in mammograms based on convolutional neural networks

desreg: dynamic ensemble selection library for regression tasks

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

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

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

implementation of data stream classification neural network models over big data platforms

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

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

alternative ova proposals for cooperative competitive rbfn design in classification tasks

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

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

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

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