Cano De Amo, J. R. . ., Herrera Triguero, F. ., Lozano Márquez, M. . ., & García López, S. . (2008). Making CN2-SD Subgroup Discovery Algorithm scalable to Large Size Data Sets using Instance Selection. Expert Systems With Applications, 35, 1949-1965.
José Ramón Cano De Amo
First name
José Ramón
Last name
Cano De Amo
2008
Lozano Márquez, M. . ., Cano De Amo, J. R. . ., & Herrera Triguero, F. . (2008). Replacement strategies to preserve useful diversity in steady-state genetic algorithms. Information Sciences, 178, 4421-4433. https://doi.org/10.1016/j.ins.2008.07.031
Cano De Amo, J. R. . ., García López, S. ., & Herrera Triguero, F. . (2008). Subgroup Discovery in Large Size Data Sets Preprocessed Using Stratified Instance Selection for Increasing the Presence of Minority Classes. Pattern Recognition Letters, 29, 2156-2164. https://doi.org/10.1016/j.patrec.2008.08.001
2007
Cano De Amo, J. R. . ., Herrera Triguero, F. ., & Lozano Márquez, M. . . (2007). Evolutionary Stratified Training Set Selection for Extracting Classification Rules with trade off Precision-Interpretability. Data \& Knowledge Engineering, 60, 90-108.
García López, S. ., Cano De Amo, J. R. . ., & Herrera Triguero, F. . (2007). Un algoritmo memético para la selección de prototipos: Una propuesta eficiente para problemas de tamaño medio. Presented at the. Tenerife.
Cano De Amo, J. R. . ., García López, S. ., Herrera Triguero, F. ., & Bernadó-Mansilla, E. . (2007). Análisis of Evolutionary Prototype Selection by means of a Data Complexity Measure based on Class Separabilty. 145-152. Zaragoza.
2006
García López, S. ., Cano De Amo, J. R. . ., Fernández Hilario, A. L. . ., & Herrera Triguero, F. . (2006). A proposal of Evolutionary Prototype Selection for Class Imbalance Problems. 4224, 1415-1423.
Sánchez, L. ., & Cano De Amo, J. R. . . (2006). Boosting of fuzzy models for high-dimensional imprecise datasets. Presented at the. París (Francia). (Original work published)
García López, S. ., Cano De Amo, J. R. . ., & Herrera Triguero, F. . (2006). Incorporating Knowledge in Evolutionary Prototype Selection. 4224, 1358-1366.
Cano De Amo, J. R. . ., Herrera Triguero, F. ., & Lozano Márquez, M. . . (2006). On the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. Applied Soft Computing, 6, 323-332.