Cano De Amo, J. R. . ., Herrera Triguero, F. ., & Lozano, M. . (2008). Evolutionary Stratified Instance Selection applied to Training Set Selection for Extracting High Precise-Interpretable Classification Rules. (Original work published)
Manuel Lozano
First name
Manuel
Last name
Lozano
2008
Cano De Amo, J. R. . ., Herrera Triguero, F. ., Lozano, M. ., & García López, S. . (2008). Making CN1 -SD Subgroup Discovery Algorithm Scalable to Large Size Data Sets Using Instance Selection. Expert System With Applications, 35, 1949-1965.
2005
Cano De Amo, J. R. . ., Herrera Triguero, F. ., & Lozano, M. . (2005). Instance Selection Using Evolutionary Algorithms: An Experimental Study (N. R. Pal & L. . Jain, Eds.). London: Springer London. https://doi.org/10.1007/1-84628-183-0_5
Lozano, M. ., Herrera Triguero, F. ., & Cano De Amo, J. R. . . (2005). Replacement Strategies to Maintain Useful Diversity in Steady-State Genetic Algorithms. https://doi.org/10.1007/3-540-32400-3_7 (Original work published)
Cano De Amo, J. R. . ., Herrera Triguero, F. ., & Lozano, M. . (2005). Strategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining (A. . Ghosh & L. C. Jain, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-32358-9_2
2002
Cano De Amo, J. R. . ., Herrera Triguero, F. ., & Lozano, M. . (2002). Selección Evolutiva de Instancias en Minería de Datos. Presented at the. Santander (España). (Original work published)
1997
Cordón García, Óscar ., del Jesus Díaz, M. J. ., Herrera Triguero, F. ., & Lozano, M. . (1997). An evolutionary paradigm for designing fuzzy rule-based systems from examples. 139-144. https://doi.org/10.1049/cp:19971170 (Original work published)