Maria José del Jesus Díaz

First name
Maria José
Last name
del Jesus Díaz

2024

de la Rosa de la Rosa, D. ., Charte Ojeda, F. ., & del Jesus Díaz, M. J. . (2024). Detección automática no supervisada de imágenes de fototrampeo vacías.
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García-Vico, Ángel M. ., Carmona, C. J. ., González García, P. ., & del Jesus Díaz, M. J. . (2024). A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams. XX Conferencia De La Asociación Española Para La Inteligencia Artificial. Presented at the.
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Germán Morales, M. ., Rivera Rivas, A. J. ., Charte Ojeda, F. ., De La Casa-Higueras, J. ., Tejero, J. A., & del Jesus Díaz, M. J. . (2024). Modelado de módulos fotovoltaicos bifaciales mediante técnicas de aprendizaje automático.
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2023

de la Rosa de la Rosa, D. ., Álvarez, A. ., Pérez, R. ., Garrote, G. ., Rivas, A. R., del Jesus Díaz, M. J. ., & Charte Ojeda, F. . (2023). NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images. https://doi.org/10.1007/978-3-031-43078-7_4 (Original work published)
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García-Vico, Ángel M. ., Carmona, C. J. ., González García, P. ., & del Jesus Díaz, M. J. . (2023). A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams. Information Fusion. https://doi.org/10.1016/j.inffus.2022.10.028
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Rivera, A. J., Dávila, M. A., Elizondo, D. ., del Jesus Díaz, M. J. ., & Charte Ojeda, F. . (2023). mldr.resampling: Efficient reference implementations of multilabel resampling algorithms. Neurocomputing, 559, 126806. https://doi.org/https://doi.org/10.1016/j.neucom.2023.126806
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Rivera Rivas, A. J. ., Dávila Romero, M. Ángel . ., Elizondo, D. A., del Jesus Díaz, M. J. ., & Charte Ojeda, F. . (2023). mldr.resampling: Efficient reference implementations of multilabel resampling algorithms. Neurocomputing, 559, 126806. https://doi.org/https://doi.org/10.1016/j.neucom.2023.126806
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2022

Rivas, A. R., Pérez-Godoy, M. ., Elizondo, D. ., Deka, L. ., & del Jesus Díaz, M. J. . (2022). Analysis of clustering methods for crop type mapping using satellite imagery. Neurocomputing, 492. https://doi.org/10.1016/j.neucom.2022.04.002 (Original work published)
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2021

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.
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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
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