García-Vico, Ángel 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
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)
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2019). Dealing with difficult minority labels in imbalanced mutilabel data sets. Neurocomputing, 326, 39-53. https://doi.org/10.1016/j.neucom.2016.08.158
Fernández Hilario, A. L. . ., del Jesus Díaz, M. J. ., Cordón García, Óscar ., 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, Ángel 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, Ángel 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, Ángel 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)