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 2025)
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, Ángel 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, Ángel 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, Ángel 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.