García-Vico, Á. M., Carmona, C. J., González García, P., Seker, H., & del Jesus Díaz, M. J. (2020). FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams. IEEE Transactions on Fuzzy Systems, 28, 3193-3203. https://doi.org/10.1109/TFUZZ.2020.2992849 (Original work published 2020)
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2020
Carmona, C. J., González García, P., García-Vico, Á. M., & del Jesus Díaz, M. J. (2020). A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns. 1268, 100. https://doi.org/10.1007/978-3-030-57802-2_10
2019
Fernández Hilario, A. L., del Jesus Díaz, M. J., Cordón García, Ó., Marcelloni, F., & Herrera Triguero, F. (2019). Evolutionary Fuzzy Sistems for Explainable Artificial Intelligence: Why, When, What for, and Where to ? IEEE Computational Intelligence, 1, 69-81. https://doi.org/10.1109/TFUZZ.2018.2814577
Charte Ojeda, F., Rivera Rivas, A. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2019). REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization. Neurocomputing, 326, 110-122. https://doi.org/10.1016/j.neucom.2017.01.118
García-Vico, Á. M., González García, P., Carmona, C. J., & del Jesus Díaz, M. J. (2019). Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments. Big Data Analytics, 4, 1. https://doi.org/10.1186/s41044-018-0038-8
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)
García-Vico, Á. M., González García, P., Carmona, C. J., & del Jesus Díaz, M. J. (2019). A Big Data Approach for the Extraction of Fuzzy Emerging Patterns. Cognitive Computation, 11, 400-417. https://doi.org/10.1007/s12559-018-9612-7 (Original work published 2019)
Viedma, D. T., Rivera Rivas, A. J., Charte Ojeda, F., & del Jesus Díaz, M. J. (2019). A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy. 270-280. https://doi.org/10.1007/978-3-030-20521-8_23 (Original work published 2019)
Charte, D. ", Charte Ojeda, F., del Jesus Díaz, M. J., & Herrera Triguero, F. (2019). A Showcase of the Use of Autoencoders in Feature Learning Applications. 412-421. https://doi.org/10.1007/978-3-030-19651-6_40 (Original work published 2019)
Charte Ojeda, F., Rivera Rivas, A. J., Martínez, F., & del Jesus Díaz, M. J. (2019). Automating Autoencoder Architecture Configuration: An Evolutionary Approach. 339-349. https://doi.org/10.1007/978-3-030-19591-5_35 (Original work published 2019)