Francisco Charte Ojeda

First name
Francisco
Last name
Charte Ojeda

2024

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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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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Pérez Godoy, M. D., Molina, M., Martínez del Rio, F., Elizondo, D. A., Charte Ojeda, F., & Rivera, A. J. (2024). DESReg: Dynamic Ensemble Selection library for Regression tasks. Neurocomputing. Retrieved from https://api.semanticscholar.org/CorpusID:268283297
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2023

Cabrera-Bermejo, M. I., Del Jesus, M. J., Rivera, A. J., Elizondo, D., Charte Ojeda, F., & Pérez-Godoy, M. D. (2023). Analysis of Transformer Model Applications. 231–243. Berlin, Heidelberg: Springer-Verlag. https://doi.org/10.1007/978-3-031-40725-3_20
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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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Rivera, A., Muñoz, C., Pérez-Goody, M., de San Pedro, S., Charte Ojeda, F., Elizondo, D., … del Jesus, M. (2023). XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department. Artificial Intelligence in Medicine, 137, 102494. https://doi.org/https://doi.org/10.1016/j.artmed.2023.102494
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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. Á., 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

Martínez, F., Charte Ojeda, F., Frías Bustamante, M. del P., & Martínez-Rodríguez, A. M. (2022). Strategies for time series forecasting with generalized regression neural networks. Neurocomputing, 491, 509-521. https://doi.org/10.1016/j.neucom.2021.12.028
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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
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