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. 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

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.