Maria José del Jesus Díaz

First name
Maria José
Last name
del Jesus Díaz

2019

Luna, J. M., Carmona, C. J., García-Vico, Á. M., del Jesus Díaz, M. J., & Ventura, S. (2019). Subgroup Discovery on Multiple Instance Data. International Journal of Computational Intelligence Systems, 12, 1602-1612. https://doi.org/10.2991/ijcis.d.191213.001 (Original work published 2019)
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2018

Charte, D. ", Charte Ojeda, F., García López, S., del Jesus Díaz, M. J., & Herrera Triguero, F. (2018). A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. 949-950. Granada (Spain). (Original work published)
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García-Vico, Á. M., Carmona, C. J., González García, P., & del Jesus Díaz, M. J. (2018). MOEA-EFEP: Un algoritmo evolutivo multi-objetivo para la extracción de patrones emergentes difusos. 671-672.
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Carmona, C. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2018). A Unifying Analysis for the Supervised Descriptive Rule Discovery via the Weighted Relative Accuracy. Knowledge-Based Systems, 139, 89-100. https://doi.org/10.1016/j.knosys.2017.10.015
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Luna, J., Reyes, O., del Jesus Díaz, M. J., & Ventura, S. (2018). Reglas de asociación en datos multi-instancia mediante programación genética gramatical. 815-820. Granada. (Original work published)
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Pulgar Rubio, F. J., Charte Ojeda, F., Rivera Rivas, A. J., & del Jesus Díaz, M. J. (2018). AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction. International Journal of Computational Intelligence Systems, 12, 436-452. https://doi.org/10.2991/ijcis.2019.0025 (Original work published 2018)
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Charte Ojeda, F., Rivera Rivas, A. J., Charte, D. ", del Jesus Díaz, M. J., & Herrera Triguero, F. (2018). Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository. Neurocomputing, 289, 68-85. https://doi.org/10.1016/j.neucom.2018.02.011
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Trujillo, D., Rivera Rivas, A. J., Charte Ojeda, F., & del Jesus Díaz, M. J. (2018). An Approximation to Deep Learning Touristic-Related Time Series Forecasting. 448-456. Madrid (Spain). https://doi.org/10.1007/978-3-030-03493-1_47 (Original work published)
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Viedma, D. T., Rivera Rivas, A. J., Charte Ojeda, F., & del Jesus Díaz, M. J. (2018). Una primera aproximación a la predicción de variables turísticas con Deep Learning. 939-943. Granada (Spain). (Original work published)
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García-Vico, Á. M., Carmona, C. J., Martín, D., García-Borroto, M., & del Jesus Díaz, M. J. (2018). An Overview of Emerging Pattern Mining in Supervised Descriptive Rule Discovery: Taxonomy, Empirical Study, Trends and Prospects. WIREs Data Mining and Knowledge Discovery, 8. https://doi.org/10.1002/widm.1231
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