García-Vico, Á. M., Carmona, C. J., & del Jesus Díaz, M. J. (2017). Análisis de Diferentes Tipos de Reglas en Sistemas Difusos Evolutivos para Minería de Patrones Emergentes. 876-885.
Cristóbal J. Carmona
First name
Cristóbal J.
Last name
Carmona
2017
García-Vico, Á. M., González García, P., Carmona, C. J., & del Jesus Díaz, M. J. (2017). Impact of the Type of Rule in Fuzzy Emerging Pattern Mining on a Big Data Approach. Presentado en.
Pulgar Rubio, F. J., Rivera Rivas, A. J., Pérez Godoy, M. D., González García, P., Carmona, C. J., & del Jesus Díaz, M. J. (2017). MEFASD-BD: Multi-Objective Evolutionary Algorithm for Subgroup Discovery in Big Data Environments - A MapReduce Solution. Knowledge-Based Systems, 117, 70-78. https://doi.org/10.1016/j.knosys.2016.08.021
2016
García-Vico, Á. M., Charte Ojeda, F., González García, P., Carmona, C. J., & del Jesus Díaz, M. J. (2016). Subgroup Discovery with Evolutionary Fuzzy Systems in R: the SDEFSR Package. The R Journal, 8, 307-323.
Luengo, J., García-Vico, Á. M., Pérez Godoy, M. D., & Carmona, C. J. (2016). The Influence of Noise on the Evolutionary Fuzzy Systems for Subgroup Discovery. Soft Computing, 20, 4313-4330. https://doi.org/10.1007/s00500-016-2300-1
Carmona, C. J., & Elizondo, D. (2016). Supervised Descriptive Rule Discovery: A Survey of the State-of-the-Art (pp. 1-11).
Fernández Hilario, A. L., Carmona, C. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2016). A View on Fuzzy Systems for Big Data: Progress and Opportunities. International Journal of Computational Intelligence Systems, 9, 69-80.
Ruiz-Rodado, V., Carmona, C. J., Grootveld, M., & Elizondo, D. (2016). New Developments in 1H NMR-linked Metabolomics: Identification of New Biomarkers for the Metabolomic Classification of Niemann-Pick Disease, Type C1, and its Response to Treatment. Leicester School of Pharmacy, De Montfort University, Leicester, United Kingdom.
García-Vico, Á. M., Montes, J., García, J. J. A., Carmona, C. J., & del Jesus Díaz, M. J. (2016). Analysing Concentrating Photovoltaics Technology through the use of Emerging Pattern Mining. Presentado en.
Carmona, C. J., Pulgar Rubio, F. J., Rivera Rivas, A. J., del Jesus Díaz, M. J., & García, J. J. A. (2016). Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach. 273-282. Sevilla (Spain): Springer. (Original work published 2026)