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)
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2017
García-Vico, Á. M., González García, P., del Jesus Díaz, M. J., & Carmona, C. J. (2017). A First Approach to Handle Emergining Patterns Mining on Big Data Problems: The EvAEFP-Spark Algorithm. 1-6.
Fernández Hilario, A. L., Carmona, C. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2017). A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets. International Journal of Neural Systems, 27, 1-17. https://doi.org/10.1142/S0129065717500289
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)
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.
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.
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.
2016
Charte Ojeda, F., Charte, D. ", Rivera Rivas, A. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2016). R Ultimate Multilabel Dataset Repository. 487-499. Seville (Spain). https://doi.org/10.1007/978-3-319-32034-2_41 (Original work published)
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.
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.