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. Presentado en. Santander (España). (Original work published)
1997
Cordón García, Ó., 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)