M. Dolores Pérez-Godoy

Orcid: 0000-0002-6670-564X

According to our database1, M. Dolores Pérez-Godoy authored at least 32 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DESReg: Dynamic Ensemble Selection library for Regression tasks.
Neurocomputing, 2024

2023
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department.
Artif. Intell. Medicine, March, 2023

Analysis of Transformer Model Applications.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

2022
Analysis of clustering methods for crop type mapping using satellite imagery.
Neurocomputing, 2022

Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series.
IEEE Access, 2022

2021
Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms.
Proceedings of the Advances in Computational Intelligence, 2021

2020
An analysis of technological frameworks for data streams.
Prog. Artif. Intell., 2020

A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

2019
predtoolsTS: R package for streamlining time series forecasting.
Prog. Artif. Intell., 2019

A methodology for applying k-nearest neighbor to time series forecasting.
Artif. Intell. Rev., 2019

2018
Dealing with seasonality by narrowing the training set in time series forecasting with <i>k</i>NN.
Expert Syst. Appl., 2018

2017
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution.
Knowl. Based Syst., 2017

Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass.
Comput. Chem. Eng., 2017

2016
The influence of noise on the evolutionary fuzzy systems for subgroup discovery.
Soft Comput., 2016

Recognition of Activities in Resource Constrained Environments; Reducing the Computational Complexity.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

2015
CO ^2 RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design.
Proceedings of the Advances in Computational Intelligence, 2015

2014
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets.
Appl. Soft Comput., 2014

2013
Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks.
Proceedings of the Advances in Computational Intelligence, 2013

A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2011
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods.
Appl. Intell., 2011

Multi-label Testing for CO<sup>2</sup>RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification.
Proceedings of the Advances in Computational Intelligence, 2011

A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
CO<sup>2</sup>RBFN: an evolutionary cooperative-competitive RBFN design algorithm for classification problems.
Soft Comput., 2010

Analysis of an evolutionary RBFN design algorithm, CO<sup>2</sup>RBFN, for imbalanced data sets.
Pattern Recognit. Lett., 2010

CO<sup>2</sup>RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market.
Int. J. Hybrid Intell. Syst., 2010

CO<sup>2</sup>RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2010

A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design.
Proceedings of the International Joint Conference on Neural Networks, 2010

Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market.
Proceedings of the Trends in Applied Intelligent Systems, 2010

2009
A Preliminar Analysis of CO2RBFN in Imbalanced Problems.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2008
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm.
Proceedings of the Computational and Ambient Intelligence, 2007


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