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
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2021
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. Presented at the.
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
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)
Puentes, F. ., Pérez Godoy, M. D. . ., González García, P. ., & del Jesus Díaz, M. J. . (2020). An analysis of technological frameworks for data streams. Progress in Artificial Intelligence, 9, 239-261. https://doi.org/10.1007/s13748-020-00210-6 (Original work published 2020)
Charte, D. ", Charte Ojeda, F. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2020). An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges. Neurocomputing, 404, 93-107. https://doi.org/10.1016/j.neucom.2020.04.057