PLAN DE FORMACIÓN, INICIACIÓN A LA INVESTIGACIÓN Y CAPTACIÓN DE TALENTO

María Dolores Pérez Godoy

Universidad de Jaén

Publicaciones

MORENA: Empty Images Detection Based on Unsupervised Reconstruction Error Analysis

2026
book-chapter

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

Preliminary Analysis of Loss Functions in Generative Model Inversion Attacks

2026
book-chapter

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

Evaluating Preprocessing Techniques for Calcification Morphology Classification in Mammograms Based on Convolutional Neural Networks

2025
book-chapter

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

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

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

Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms

AUTHORS: Fernando Puentes-Marchal; María Dolores Pérez-Godoy; Pedro González; María José Del Jesus

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

2021
book-chapter

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

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

Artificial Intelligence Review

2019
journal-article

10.1007/s10462-017-9593-z

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

Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks

2013
other

10.1007/978-3-642-38679-4_32

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

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

Soft Computing

2010
journal-article

10.1007/s00500-009-0488-z

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

Contacto

lperez@ujaen.es