García-Vico, Ángel M. ., Carmona, C. J. ., González García, P. ., & del Jesus Díaz, M. J. . (2021). A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams. Expert Systems With Applications, 183, 115419.
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2021
Pulgar Rubio, F. J. . ., Charte Ojeda, F. ., Rivera Rivas, A. J. ., & del Jesus Díaz, M. J. . (2021). ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders. Information Sciences, 565, 146-176. https://doi.org/10.1016/j.ins.2021.02.060
García-Vico, Ángel M. ., Seker, H. ., Carmona, C. J. ., González García, P. ., & del Jesus Díaz, M. J. . (2021). FEPDS: Una propuesta para la extracción de patrones emergentes difusos en flujos continuos de datos. Presentado en.
Puentes, F. ., Pérez Godoy, M. D. . ., González García, P. ., & del Jesus Díaz, M. J. . (2021). Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms. 272-280. Springer International Publishing. https://doi.org/10.1007/978-3-030-85099-9_22
Escobar, A. ., González García, P. ., & del Jesus Díaz, M. J. . (2021). Revisión y análisis de conceptos en Inteligencia Artificial Explicable. Una aproximación a la unificación de la terminología.
2020
Pulgar Rubio, F. J. . ., Charte Ojeda, F. ., Rivera Rivas, A. J. ., & del Jesus Díaz, M. J. . (2020). Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines. Information Fusion, 54, 44-60. https://doi.org/10.1016/j.inffus.2019.07.004 (Original work published 2020)
Charte Ojeda, F. ., Rivera Rivas, A. J. ., Martínez, F. ., & del Jesus Díaz, M. J. . (2020). EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search. Integrated Computer-Aided Engineering, 27, 211-231. https://doi.org/10.3233/ICA-200619 (Original work published 2020)
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)
Carmona, C. J. ., González García, P. ., García-Vico, Ángel 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
Rivera Rivas, A. J. ., Pérez Godoy, M. D. . ., Elizondo, D. ., Deka, L. ., & del Jesus Díaz, M. J. . (2020). A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops. 276-285. https://doi.org/10.1007/978-3-030-57802-2_27 (Original work published 2020)