Pulgar Rubio, F. J., Charte Ojeda, F., Rivera Rivas, A. J., & del Jesus Díaz, M. J. (2018). A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders. 439-447. Madrid (Spain). https://doi.org/10.1007/978-3-030-03493-1_46 (Original work published)
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2018
Luna, J. M., Pechenizkiy, M., del Jesus Díaz, M. J., & Ventura, S. (2018). Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming. IEEE Transactions on Cybernetics, 48, 3030-3044. https://doi.org/10.1109/TCYB.2017.2750919 (Original work published 2026)
Fernández Hilario, A. L., Carmona, C. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2018). A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets. Proc. of the XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (XVIII CAEPIA), 1316-1317.
García-Vico, Á. M., Carmona, C. J., González García, P., & del Jesus Díaz, M. J. (2018). MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns. IEEE Transaction on Fuzzy Systems, 26, 2861-2872. https://doi.org/10.1109/TFUZZ.2018.2814577
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)
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.