Palacios, A. M., Couso, I. ., & Sánchez, L. . (2009). GFS-Based Analysis of Vague Databases in High Performance Athletics. 602-609. https://doi.org/10.1007/978-3-642-04394-9_73 (Original work published)
Luciano Sánchez
First name
Luciano
Last name
Sánchez
2009
Sánchez, L. ., Otero, J. ., & Couso, I. . (2009). Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms. Soft Comput., 13, 467-479. https://doi.org/10.1007/s00500-008-0362-4 (Original work published)
2008
Couso, I. ., & Sánchez, L. . (2008). Higher order models for fuzzy random variables. Fuzzy Sets and Systems, 159, 237-258. https://doi.org/10.1016/j.fss.2007.09.004
Sánchez, L. ., Suárez, R. ., Villar, J. R., & Couso, I. . (2008). Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data. International Journal of Approximate Reasoning, 49, 607-622. https://doi.org/10.1016/j.ijar.2008.06.005
Sánchez, L. ., Palacios, A. M., & Couso, I. . (2008). A Minimum Risk Wrapper Algorithm for Genetically Selecting Imprecisely Observed Features, Applied to the Early Diagnosis of Dyslexia. 5271, 608-615. https://doi.org/10.1007/978-3-540-87656-4_75 (Original work published)
Sánchez, L. ., & Villar, J. R. (2008). Obtaining transparent models of chaotic systems with multi-objective simulated annealing algorithms. Information Sciences, 178, 952-970. https://doi.org/10.1016/j.ins.2007.09.029
Couso, I. ., & Sánchez, L. . (2008). Defuzzification of Fuzzy p-Values (D. . Dubois, A. . Lubiano, H. . Prade, M. ángeles Gil, P. . Grzegorzewski, & O. . Hryniewicz, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg.
2007
Sánchez, L. ., & Otero, J. . (2007). Boosting fuzzy rules in classification problems under single-winner inference. Int. J. Intell. Syst., 22, 1021-1034.
Otero, J. ., & Sánchez, L. . (2007). Disenos experimentales y tests estadisticos, tendencias actuales en Machine Learning. (Original work published)
Otero, J. ., Sánchez, L. ., & Alcala-Fdez, J. . (2007). Selecting an Appropriate Statistical Test for Comparing Multiple Experiments in Evolutionary Machine Learning. Presented at the. (Original work published)