Rivera Rivas, A. J. ., Charte Ojeda, F. ., Pulgar Rubio, F. J. . ., & del Jesus Díaz, M. J. . (2017). A Transformation Approach Towards Big Data Multilabel Decision Trees. 73-84. Cádiz (Spain). https://doi.org/10.1007/978-3-319-59153-7_7 (Original work published)
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2017
García-Vico, Ángel 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.
García-Vico, Ángel 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.
Triguero, I. ., Gonzalez, S. ., Moyano, J. ., García López, S. ., Alcala-Fdez, J. ., Luengo, J. ., … PRESS., A. . (2017). KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. International Journal of Computational Intelligence Systems, 10, 1238-1249.
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
Pulgar Rubio, F. J. . ., Rivera Rivas, A. J. ., Charte Ojeda, F. ., & del Jesus Díaz, M. J. . (2017). On the Impact of Imbalanced Data in Convolutional Neural Networks Performance. 220-232. La Rioja (Spain). https://doi.org/10.1007/978-3-319-59650-1_19 (Original work published)
2016
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.
García-Vico, Ángel 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. Presented at the.
Martínez, F. ., Pérez Godoy, M. D. . ., Charte Ojeda, F. ., & del Jesus Díaz, M. J. . (2016). Combining simple exponential smoothing models for time series forecasting. 635-644. Granada (Spain). (Original work published)
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 2025)