José Ramón Cano De Amo

First name
José Ramón
Last name
Cano De Amo

2012

Cano De Amo, J. R. . . (2012). Predictive-collaborative model as recovery and validation tool. Case of study: Psychiatric emergency department decision support. Expert Systems With Applications, 39, 4044-4048. https://doi.org/10.1016/j.eswa.2011.09.098
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García López, S. ., Derrac, J. ., Cano De Amo, J. R. . ., & Herrera Triguero, F. . (2012). Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study. IEEE Transactions Pattern Analysis and Machiche Intelligence, 34, 417-435. https://doi.org/10.1109/TPAMI.2011.142
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Lozano Márquez, M. . ., Herrera Triguero, F. ., & Cano De Amo, J. R. . . (2012). Replacement Strategies to Preserve Useful Diversity in Steady-State Genetic Algorithms. Information Sciences.
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2010

García López, S. ., Cano De Amo, J. R. . ., & Herrera Triguero, F. . (2010). A Review on Evolutionary Prototype Selection. https://doi.org/10.4018/978-1-60566-798-0.ch005
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2009

García López, S. ., Cano De Amo, J. R. . ., Bernadó-Mansilla, E. ., & Herrera Triguero, F. . (2009). Diagnose of Effective Evolutionary Prototype Selection using an Overlapping Measure. International Journal of Pattern Recognition and Artificial Intelligence, 23, 1527-1548.
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Cano De Amo, J. R. . ., González García, P. ., García, J. J. . A., López-Herrera, A. ., Herrera Triguero, F. ., Navío, M. ., & Angel, J.-A. M. (2009). Modelo predictivo colaborativo de apoyo al diagnóstico en servicio de urgencias psiquiátricas. Revista Ibérica De Sistemas Y Tecnologías De La información, 4, 29-42.
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2008

García López, S. ., Cano De Amo, J. R. . ., & Herrera Triguero, F. . (2008). A memetic algorithm for Evolutionary Prototype Selection: A Scaling Up Approach. Pattern Recognition, 41, 2693-2709.
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Luengo, J. ., García López, S. ., Cano De Amo, J. R. . ., & Herrera Triguero, F. . (2008). Estudio de la influencia de las medidas de complejidad de los datos en los Sistemas de Clasifcación Basados en Reglas Difusas: Análisis de la Razón Discriminante de Fisher. 257-263. Mieres (Spain). (Original work published 2025)
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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)
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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.
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