Herrera, F., García, S., del Jesus Díaz, M. J., Sánchez, L., & de Prado, M. L. (2026). Co-Explainers: A Position on Interactive XAI for Human–AI Collaboration as a Harm-Mitigation Infrastructure. Machine Learning and Knowledge Extraction, 8. https://doi.org/10.3390/make8030069
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2026
Cabrera-Bermejo, M. I., Germán Morales, M., de la Rosa de la Rosa, D., del Jesus Díaz, M. J., Rivera Rivas, A. J., Elizondo, D., … Pérez Godoy, M. D. (2026). A didactic overview of Transformer applications: model variations and user guidelines. Logic Journal of the IGPL, 34, jzaf040. https://doi.org/10.1093/jigpal/jzaf040 (Original work published 1970)
2025
Germán Morales, M., Rivera Rivas, A. J., del Jesus Díaz, M. J., & Carmona, C. J. (2025). Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations. Information Fusion, 123, 103247. https://doi.org/10.1016/j.inffus.2025.103247
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.
García-Vico, Á. 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.
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.
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)
García-Vico, Á. 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
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/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/10.1016/j.neucom.2023.126806