Cristóbal J. Carmona

Carmona, C. J. ., & Elizondo, D. . (2016). Supervised Descriptive Rule Discovery: A Survey of the State-of-the-Art (pp. 1-11).

Carmona, C. J. ., Ruiz-Rodado, V. ., del Jesus Díaz, M. J. ., Weber, A. ., Grootveld, M. ., González García, P. ., & Elizondo, D. . (2015). A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans. Information Sciences, 298, 180-197. https://doi.org/10.1016/j.ins.2014.11.030

Carmona, C. J. ., Pulgar Rubio, F. J. . ., García-Vico, Ángel M. ., González García, P. ., & del Jesus Díaz, M. J. . (2015). Análisis descriptivo mediante aprendizaje supervisado basado en patrones emergentes. 685-694.

Carmona, C. J. ., González García, P. ., & del Jesus Díaz, M. J. . (2015). FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery. 1-8.

Carmona, C. J. ., & Elizondo, D. . (2015). Subgroup Discovery through Evolutionary Fuzzy Systems applied to Bioinformatics problems. Leicester, United Kingdom: De Montfort University.

Pulgar Rubio, F. J. . ., Carmona, C. J. ., Rivera Rivas, A. J. ., González García, P. ., & del Jesus Díaz, M. J. . (2015). Una primera aproximación al descubrimiento de subgrupos bajo el paradigma MapReduce. 991-1000.

García-Vico, Ángel M. ., Charte Ojeda, F. ., González García, P. ., Carmona, C. J. ., & del Jesus Díaz, M. J. . (2015). Usando Algoritmos de Descubrimiento de Subgrupos en R: El Paquete SDR. 739-748.

García-Domingo, B. ., Carmona, C. J. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & García, J. J. . A. (2015). A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions. Expert Systems With Applications, 42, 5452-5462. https://doi.org/10.1016/j.eswa.2015.02.032

Carmona, C. J. ., & Luengo, J. . (2015). A first approach in the class noise filtering approaches for Fuzzy Subgroup Discovery. Springer.

López, V. ., Triguero, I. ., Carmona, C. J. ., García López, S. ., & Herrera Triguero, F. . (2014). Addressing Imbalanced Classification with Instance Generation Techniques: IPADE-ID. Neurocomputing, 126, 15-28. https://doi.org/10.1016/j.neucom.2013.01.050