Capítulos de Libro

1. Morais-Quilez, I., Graña, M. (2023). Identification of Critical Subgraphs in Drone Airways Graphs by Graph Convolutional Networks. In: , et al. 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022). SOCO 2022. Lecture Notes in Networks and Systems, vol 531. Springer, Cham. https://doi.org/10.1007/978-3-031-18050-7_43
3. Badiola-Zabala, G., Lopez-Guede, J.M., Estevez, J., Graña, M. (2022). Triage Prediction of a Real Dataset of COVID-19 Patients in Alava. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Adeli, H. (eds) Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022. Lecture Notes in Computer Science, vol 13259. Springer, Cham. https://doi.org/10.1007/978-3-031-06527-9_47
5. Badiola-Zabala, G., Lopez-Guede, J.M., Estevez, J., Graña, M. (2022). On the Analysis of a Real Dataset of COVID-19 Patients in Alava. In: , et al. Hybrid Artificial Intelligent Systems. HAIS 2022. Lecture Notes in Computer Science(), vol 13469. Springer, Cham. https://doi.org/10.1007/978-3-031-15471-3_5
7. Rebollar, I.S., Graña, M. (2022). Deep Learning Artwork Style Prediction and Similarity Detection. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Adeli, H. (eds) Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022. Lecture Notes in Computer Science, vol 13259. Springer, Cham. https://doi.org/10.1007/978-3-031-06527-9_28
9. Muñoz-Cancino, R., Bravo, C., Ríos, S.A., Graña, M. (2022). Assessment of Creditworthiness Models Privacy-Preserving Training with Synthetic Data. In: , et al.Hybrid Artificial Intelligent Systems. HAIS 2022. Lecture Notes in Computer Science(), vol 13469. Springer, Cham. https://doi.org/10.1007/978-3-031-15471-3_32
11. Cano-Escalera, G., Graña, M., Besga, A. (2022). Frailty Related Survival Risks at Short and Middle Term of Older Adults Admitted to Hospital. In: , et al. Hybrid Artificial Intelligent Systems. HAIS 2022. Lecture Notes in Computer Science(), vol 13469. Springer, Cham. https://doi.org/10.1007/978-3-031-15471-3_4
13. Nicolás, J.A., de Lope, J., Graña, M. (2022). Data Augmentation Techniques for Speech Emotion Recognition and Deep Learning. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Adeli, H. (eds) Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022. Lecture Notes in Computer Science, vol 13259. Springer, Cham. https://doi.org/10.1007/978-3-031-06527-9_27
15. Graña, M., Badiola-Zabala, G., Lopez-Guede, J.M. (2021). Counter Intituive COVID-19 Propagation Dynamics in Brazil. In: Sanjurjo González, H., Pastor López, I., García Bringas, P., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2021. Lecture Notes in Computer Science(), vol 12886. Springer, Cham. https://doi.org/10.1007/978-3-030-86271-8_36
16. Silva, M., Graña, M. (2022). On Machine Learning for Autism Prediction from Functional Connectivity. In: Choraś, M., Choraś, R.S., Kurzyński, M., Trajdos, P., Pejaś, J., Hyla, T. (eds) Progress in Image Processing, Pattern Recognition and Communication Systems. CORES IP&C ACS 2021 2021 2021. Lecture Notes in Networks and Systems, vol 255. Springer, Cham. https://doi.org/10.1007/978-3-030-81523-3_16
17. de Lope, J., Hernández, E., Vargas, V., Graña, M. (2021). Speech Emotion Recognition by Conventional Machine Learning and Deep Learning. In: Sanjurjo González, H., Pastor López, I., García Bringas, P., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2021. Lecture Notes in Computer Science(), vol 12886. Springer, Cham. https://doi.org/10.1007/978-3-030-86271-8_27