Luciano Sánchez

First name
Luciano
Last name
Sánchez

2006

Sánchez, L. ., & Cano De Amo, J. R. . . (2006). Boosting of fuzzy models for high-dimensional imprecise datasets. Presentado en. París (Francia). (Original work published)
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Villar, J. R., Otero, A. ., Otero, J. ., & Sánchez, L. . (2006). Genetic Algorithms for Estimating Longest Path from Inherently Fuzzy Data Acquired with GPS. 232-240. Berlin, Heidelberg: Springer-Verlag. https://doi.org/10.1007/11875581_28
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Otero, J. ., & Sánchez, L. . (2006). Induction of descriptive fuzzy classifiers with the Logitboost algorithm. Soft Computing, 10, 825-835. https://doi.org/10.1007/s00500-005-0011-0 (Original work published 2025)
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2005

Sánchez, L. ., Suárez, M. ., & Couso, I. . (2005). A fuzzy definition of mutual information with application to the design of genetic fuzzy classifiers. Presentado en. Tunez. (Original work published)
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Sánchez, L. ., & Alcala-Fdez, J. . (2005). Assessing the differences in accuracy between GFSs with bootstrap tests. (Original work published)
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Sánchez, L. ., & Couso, I. . (2005). Managing imprecisely observed data in Genetic Fuzzy Models by means of a fuzzy-valued fitness function. Presentado en. Granada (España). (Original work published)
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2004

Alcala-Fdez, J. ., del Jesus Díaz, M. J. ., Garrell, J.-M. ., Herrera Triguero, F. ., Martínez, C. ., & Sánchez, L. . (2004). Proyecto KEEL: Desarrollo de una herramienta para el análisis e implementación de algoritmos de extracción de conocimiento evolutivos. (Original work published)
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Marín, E. ., & Sánchez, L. . (2004). Supply Estimation Using Coevolutionary Genetic Algorithms in the Spanish Electrical Market. Applied Intelligence, 21, 7-24. https://doi.org/10.1023/B:APIN.0000027764.76082.00 (Original work published)
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Herrera Triguero, F. ., Hervas-Martínez, C. ., Otero, J. ., & Sánchez, L. . (2004). Un estudio empírico preliminar sobre los tests estadísticos más habituales en el aprendizaje automático. Santander (España): R. Giráldez, J.C. Riquelme, J.S. Aguilar.
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Sánchez, L. ., & Otero, J. . (2004). A fast genetic method for inducting descriptive fuzzy models. Fuzzy Sets and Systems, 141, 33-46. https://doi.org/10.1016/S0165-0114(03)00112-X (Original work published)
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