María Dolores Pérez Godoy

First name
María Dolores
Last name
Pérez Godoy

2014

Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., Carmona, C. J. ., & del Jesus Díaz, M. J. . (2014). Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets. Applied Soft Computing, 25, 26-39. https://doi.org/10.1016/j.asoc.2014.09.011
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2013

Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Martínez, F. . (2013). A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments. 1-8. https://doi.org/10.1109/IJCNN.2013.6706973 (Original work published 2025)
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Charte Ojeda, F. ., Rivera Rivas, A. J. ., Pérez Godoy, M. D. . ., & del Jesus Díaz, M. J. . (2013). Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks. 331-338. Tenerife (Spain). https://doi.org/10.1007/978-3-642-38679-4_32
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2012

Rivas, V. M., Parras Gutiérrez, E. . ., Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., Olmo, M. J., Arenas, M. ., … Cillero, M. . (2012). PRESETEMP: Predicción de Series Temporales mediante técnicas de Minería de Datos (E. C. Galiano, Ed.).
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2011

Rivera Rivas, A. J. ., Pérez-Recuerda, P. ., Pérez Godoy, M. D. . ., del Jesus Díaz, M. J. ., Frías Bustamante, M. del P. ., & Parras, M. . (2011). A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods. Applied Intelligence, 34, 331-346. https://doi.org/10.1007/s10489-011-0284-1 (Original work published 2025)
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Rivera Rivas, A. J. ., Pérez Godoy, M. D. . ., del Jesus Díaz, M. J. ., Pérez-Recuerda, P. ., Frías Bustamante, M. del P. ., & Parras, M. . (2011). A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price (J. A. Lozano, J. A. Gámez, & J. A. Moreno, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg.
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Rivera Rivas, A. J. ., Charte Ojeda, F. ., Pérez Godoy, M. D. . ., & del Jesus Díaz, M. J. . (2011). Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification. 41-48. Torremolinos-Málaga (Spain). https://doi.org/10.1007/978-3-642-21501-8_6 (Original work published)
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2010

Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., Carmona, C. J. ., & del Jesus Díaz, M. J. . (2010). A Preliminary Study on Mutation Operators in Cooperative Competitive Algorithms for RBFN Design. 349-355.
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Pérez Godoy, M. D. . ., Fernández, A. ., Rivas, A. R., & del Jesus Díaz, M. J. . (2010). Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets. Pattern Recognition Letters, 31, 2375-2388. https://doi.org/10.1016/j.patrec.2010.07.010 (Original work published)
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Pérez Godoy, M. D. . ., Pérez, P. ., Frías, M. ., Rivera Rivas, A. J. ., Carmona, C. J. ., & Parras, M. . (2010). CO2RBFN for Short and Medium Term Forecasting of the Extra Virgin Olive Oil Price. Studies in Computational Intelligence.
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