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. Retrieved from 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.

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

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)

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. ", Sevillano-García, I. ., Lucena-González, M. J., Martín-Rodríguez, J. L., Charte Ojeda, F. ., & Herrera, F. . (2021). Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study. In H. S. González, I. P. López, P. G. Bringas, H. . Quintián, & E. . Corchado (Eds.), Hybrid Artificial Intelligent Systems (HAIS 2021) (pp. 305-315). Cham: Springer International Publishing.