Pulgar Rubio, F. J., Rivera Rivas, A. J., Charte Ojeda, F., & del Jesus Díaz, M. J. (2018). Análisis del impacto de datos desbalanceados en el rendimiento predictivo de redes neuronales convolucionales. 1213-1218. Granada (Spain). (Original work published)
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2018
Puentes, F., Pérez Godoy, M. D., González García, P., & del Jesus Díaz, M. J. (2018). Análisis preliminar de marcos tecnológicos en data stream. 1117-1122. Granada (España). (Original work published)
Carmona, C. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2018). Atipicidad: Medida de calidad clave dentro del descubrimiento de reglas descriptivas supervisadas. 827-828.
González García, P., García-Vico, Á. M., Carmona, C. J., & del Jesus Díaz, M. J. (2018). Improvement of subgroup descriptions in noisy data by detecting exceptions. Progress in Artificial Intelligence, 7, 55-64. https://doi.org/10.1007/s13748-017-0131-7
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)
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)
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