Maria José del Jesus Díaz

First name
Maria José
Last name
del Jesus Díaz

2017

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
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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)
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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.
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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
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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)
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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.
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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.
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2016

Charte Ojeda, F., Rivera Rivas, A. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2016). On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance. 500-511. Seville (Spain). https://doi.org/10.1007/978-3-319-32034-2_42 (Original work published)
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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)
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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.
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