Francisco Charte Ojeda

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.

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. Recuperado de https://api.semanticscholar.org/CorpusID:268283297

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.

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)

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

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

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

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

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

Charte, D. ", Charte Ojeda, F. ., & Herrera, F. . (2021). Reducing Data Complexity using Autoencoders with Class-informed Loss Functions. IEEE Transactions on Pattern Analysis and Machine Intelligence, In Press. https://doi.org/10.1109/TPAMI.2021.3127698