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)
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2019
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)
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.
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
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)
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)
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
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)
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)
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