Capítulos de Libro

De Grupo de Inteligencia Computacional (GIC)
  1. Baterdene Batmunkh, Jose Antonio Chica Paez, Sergio Gil Lopez, Maider Arana Bollar, Oihana Jauregi Zorzano, Andoni Aranguren Ubierna, Manuel Graña, and J. David Nuñez-Gonzalez (2023). First Steps Predicting Execution of Civil Works from Georeferenced Infrastructure Data. 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_19
  2. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. Alonso, M., Izaguirre, A., Andonegui, I., Graña, M. (2021). An Application of Laser Measurement to On-Line Metal Strip Flatness Measurement. In: Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H., Corchado, E. (eds) 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020). SOCO 2020. Advances in Intelligent Systems and Computing, vol 1268. Springer, Cham. https://doi.org/10.1007/978-3-030-57802-2_80
  13. Aristondo, O., Nuñez-Gonzalez, J.D., Graña, M. (2021). Introducing Active Methodologies in Renewable Energy Engineering Bachelor in Mathematical and Numerical Analysis Subject. In: Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H., Corchado, E. (eds) The 11th International Conference on EUropean Transnational Educational (ICEUTE 2020). ICEUTE 2020. Advances in Intelligent Systems and Computing, vol 1266. Springer, Cham. https://doi.org/10.1007/978-3-030-57799-5_12
  14. Estevez, J., Garate, G., Lopez-Guede, J.M., Graña, M. (2021). Expansion of an Evidence-Based Workshop for Teaching of Artificial Intelligence in Schools. In: Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H., Corchado, E. (eds) The 11th International Conference on EUropean Transnational Educational (ICEUTE 2020). ICEUTE 2020. Advances in Intelligent Systems and Computing, vol 1266. Springer, Cham. https://doi.org/10.1007/978-3-030-57799-5_34
  15. Aguilar-Moreno, M., Graña, M. (2021). A Comparison of Registration Methods for SLAM with the M8 Quanergy LiDAR. In: Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H., Corchado, E. (eds) 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020). SOCO 2020. Advances in Intelligent Systems and Computing, vol 1268. Springer, Cham. https://doi.org/10.1007/978-3-030-57802-2_79