Diferencia entre revisiones de «Capítulos de Libro»

De Grupo de Inteligencia Computacional (GIC)
Línea 5: Línea 5:
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#Alawneh, H., David Nuñez-Gonzalez, J., Graña, M. (2023). Exploring Delay Reduction on Edge Computing Architectures from a Heuristic Approach. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2023. Lecture Notes in Computer Science(), vol 14001. Springer, Cham. https://doi.org/10.1007/978-3-031-40725-3_11
#Alawneh, H., David Nuñez-Gonzalez, J., Graña, M. (2023). Exploring Delay Reduction on Edge Computing Architectures from a Heuristic Approach. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2023. Lecture Notes in Computer Science(), vol 14001. Springer, Cham. https://doi.org/10.1007/978-3-031-40725-3_11
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#Muñoz-Cancino, R., Ríos, S.A., Graña, M. (2023). Predicting Innovative Cities Using Spatio-Temporal Activity Patterns. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2023. Lecture Notes in Computer Science(), vol 14001. Springer, Cham. https://doi.org/10.1007/978-3-031-40725-3_48


== 2022 ==
== 2022 ==

Revisión del 17:15 9 sep 2023

2023

  1. Aguilar-Moreno, M., Graña, M. (2023). Computational Ethology: Short Review of Current Sensors and Artificial Intelligence Based Methods. In: Iliadis, L., Maglogiannis, I., Alonso, S., Jayne, C., Pimenidis, E. (eds) Engineering Applications of Neural Networks. EANN 2023. Communications in Computer and Information Science, vol 1826. Springer, Cham. https://doi.org/10.1007/978-3-031-34204-2_2
  3. Lopez-Guede, J.M. et al. (2023). Educational Innovation Project in the Field of Informatics. In: García Bringas, P., et al. International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023). CISIS ICEUTE 2023 2023. Lecture Notes in Networks and Systems, vol 748. Springer, Cham. https://doi.org/10.1007/978-3-031-42519-6_33
  5. Alawneh, H., David Nuñez-Gonzalez, J., Graña, M. (2023). Exploring Delay Reduction on Edge Computing Architectures from a Heuristic Approach. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2023. Lecture Notes in Computer Science(), vol 14001. Springer, Cham. https://doi.org/10.1007/978-3-031-40725-3_11
  7. Muñoz-Cancino, R., Ríos, S.A., Graña, M. (2023). Predicting Innovative Cities Using Spatio-Temporal Activity Patterns. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2023. Lecture Notes in Computer Science(), vol 14001. Springer, Cham. https://doi.org/10.1007/978-3-031-40725-3_48

2022

  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
  4. 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
  6. 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
  8. 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
  10. 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
  12. 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
  14. 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

2021

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
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