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ORCIDM. Dolores Pérez-Godoy
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Journal Articles
- 2024
[j16]María Dolores Pérez-Godoy, Marta Molina, Francisco Martínez, David A. Elizondo, Francisco Charte, Antonio J. Rivera:
DESReg: Dynamic Ensemble Selection library for Regression tasks. Neurocomputing 580: 127487 (2024)- 2023
- [j15]Antonio Jesús Rivera
, J. Cobo Muñoz, M. Dolores Pérez-Godoy, B. Sáenz de San Pedro, Francisco Charte, David A. Elizondo, C. Rodríguez, M. L. Abolafia, A. Perea, María José del Jesus:
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department. Artif. Intell. Medicine 137: 102494 (2023) - 2022
- [j14]Francisco Martínez, María Pilar Frías, María Dolores Pérez-Godoy, Antonio J. Rivera:
Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series. IEEE Access 10: 3275-3283 (2022) - [j13]Antonio J. Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka, María José del Jesus:
Analysis of clustering methods for crop type mapping using satellite imagery. Neurocomputing 492: 91-106 (2022) - 2020
- [j12]Fernando Puentes, María Dolores Pérez-Godoy, Pedro González, María José del Jesus:
An analysis of technological frameworks for data streams. Prog. Artif. Intell. 9(3): 239-261 (2020) - 2019
- [j11]Francisco Martínez, María Pilar Frías, María Dolores Pérez-Godoy, Antonio Jesús Rivera:
A methodology for applying k-nearest neighbor to time series forecasting. Artif. Intell. Rev. 52(3): 2019-2037 (2019) - [j10]Francisco Charte, Alberto Vico, María Dolores Pérez-Godoy, Antonio J. Rivera:
predtoolsTS: R package for streamlining time series forecasting. Prog. Artif. Intell. 8(4): 505-510 (2019) - 2018
- [j9]Francisco Martínez, María Pilar Frías, María Dolores Pérez-Godoy, Antonio Jesús Rivera:
Dealing with seasonality by narrowing the training set in time series forecasting with kNN. Expert Syst. Appl. 103: 38-48 (2018) - 2017
- [j8]Francisco Charte, Inmaculada Romero, María Dolores Pérez-Godoy, Antonio J. Rivera, Eulogio Castro:
Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass. Comput. Chem. Eng. 101: 23-30 (2017) - [j7]Francisco Javier Pulgar, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy, Pedro González, Cristóbal J. Carmona, María José del Jesus:
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution. Knowl. Based Syst. 117: 70-78 (2017) - 2016
- [j6]Julián Luengo, Ángel Miguel García-Vico, M. Dolores Pérez-Godoy, Cristóbal J. Carmona:
The influence of noise on the evolutionary fuzzy systems for subgroup discovery. Soft Comput. 20(11): 4313-4330 (2016) - 2014
- [j5]M. Dolores Pérez-Godoy, Antonio J. Rivera, Cristóbal J. Carmona, María José del Jesus:
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets. Appl. Soft Comput. 25: 26-39 (2014) - 2011
- [j4]Antonio Jesús Rivera Rivas, Pedro Pérez-Recuerda, M. Dolores Pérez-Godoy, María José del Jesus, María Pilar Frías, Manuel Parras:
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods. Appl. Intell. 34(3): 331-346 (2011) - 2010
- [j3]M. Dolores Pérez-Godoy, Pedro Pérez-Recuerda, Antonio Jesús Rivera Rivas, María José del Jesus, Cristóbal J. Carmona, María Pilar Frías, Manuel Parras:
CO2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market. Int. J. Hybrid Intell. Syst. 7(1): 75-87 (2010) - [j2]M. Dolores Pérez-Godoy, Alberto Fernández, Antonio Jesús Rivera Rivas, María José del Jesus:
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets. Pattern Recognit. Lett. 31(15): 2375-2388 (2010) - [j1]M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Francisco José Berlanga, María José del Jesus:
CO2RBFN: an evolutionary cooperative-competitive RBFN design algorithm for classification problems. Soft Comput. 14(9): 953-971 (2010)
Conference and Workshop Papers
- 2023
- [c16]Maria Isabel Cabrera-Bermejo, María José del Jesus, Antonio J. Rivera, David A. Elizondo, Francisco Charte, M. Dolores Pérez-Godoy:
Analysis of Transformer Model Applications. HAIS 2023: 231-243 - 2021
- [c15]Fernando Puentes-Marchal, María Dolores Pérez-Godoy, Pedro González, María José del Jesus:
Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms. IWANN (2) 2021: 272-280 - 2020
- [c14]Antonio Jesús Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka, María José del Jesus:
A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops. SOCO 2020: 276-285 - 2016
- [c13]Macarena Espinilla, Antonio J. Rivera, M. Dolores Pérez-Godoy, Javier Medina, Luis Martínez, Chris D. Nugent:
Recognition of Activities in Resource Constrained Environments; Reducing the Computational Complexity. UCAmI (2) 2016: 64-74 - 2015
- [c12]María Dolores Pérez-Godoy, Antonio Jesús Rivera, Francisco Charte, María José del Jesus:
CO ^2 RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design. IWANN (1) 2015: 361-373 - 2013
- [c11]M. Dolores Pérez-Godoy, Antonio J. Rivera, María José del Jesus, Francisco Martínez:
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments. IJCNN 2013: 1-8 - [c10]Francisco Charte Ojeda, Antonio Jesús Rivera Rivas, María Dolores Pérez-Godoy, María José del Jesus:
Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks. IWANN (1) 2013: 331-338 - 2011
- [c9]Antonio Jesús Rivera Rivas, M. Dolores Pérez-Godoy, María José del Jesus, Pedro Pérez-Recuerda, María Pilar Frías, Manuel Parras:
A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price. CAEPIA 2011: 263-272 - [c8]Antonio Jesús Rivera Rivas, Francisco Charte, M. Dolores Pérez-Godoy, María José del Jesus:
Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification. IWANN (1) 2011: 41-48 - 2010
- [c7]M. Dolores Pérez-Godoy, Pedro Pérez-Recuerda, Antonio Jesús Rivera Rivas, María José del Jesus, María Pilar Frías, Manuel Parras:
Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market. IEA/AIE (1) 2010: 205-214 - [c6]M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Cristóbal J. Carmona, María José del Jesus:
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design. IJCNN 2010: 1-7 - [c5]M. Dolores Pérez-Godoy, Pedro Pérez-Recuerda, María Pilar Frías, Antonio Jesús Rivera Rivas, Cristóbal J. Carmona, Manuel Parras:
CO2RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price. NICSO 2010: 113-125 - 2009
- [c4]M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Alberto Fernández, María José del Jesus, Francisco Herrera:
A Preliminar Analysis of CO2RBFN in Imbalanced Problems. IWANN (1) 2009: 57-64 - [c3]Pedro L. López, Antonio Jesús Rivera Rivas, M. Dolores Pérez-Godoy, María José del Jesus, Cristóbal J. Carmona:
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design. IWANN (1) 2009: 752-759 - 2008
- [c2]Pedro Pérez-Recuerda, María Pilar Frías, M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, María José del Jesus, Elisabet Parras-Gutierrez, F. J. Torres:
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market. HIS 2008: 943-946 - 2007
- [c1]M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, María José del Jesus, Ignacio Rojas:
CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm. IWANN 2007: 324-332
Coauthor Index
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