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. Presented at the.
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
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)
García-Vico, Á. M., Carmona, C. J., González García, P., & del Jesus Díaz, M. J. (2016). Minería de Patrones Emergentes: Una oportunidad para la extracción evolutiva de conocimiento. Presented at the.
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.