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2020 – today
- 2024
[j4]Rafael Duque
, Crescencio Bravo, Santos Bringas, Daniel Postigo:
Leveraging a visual language for the awareness-based design of interaction requirements in digital twins. Future Gener. Comput. Syst. 153: 41-51 (2024)- [j3]Santos Bringas, Rafael Duque, Carmen Lage, José Luis Montaña:
CLADSI: Deep Continual Learning for Alzheimer's Disease Stage Identification Using Accelerometer Data. IEEE J. Biomed. Health Informatics 28(6): 3401-3410 (2024) - 2023
- [j2]Cristina Vicedo, Alicia Nieto-Reyes, Santos Bringas, Rafael Duque, Carmen Lage, José Luis Montaña:
Automatic apraxia detection using deep convolutional neural networks and similarity methods. Mach. Vis. Appl. 34(4): 60 (2023) - [c4]Sergio Salomón, Santos Bringas, Rafael Duque, José L. Montaña, Avelino J. Gonzalez:
Wildlife Species Recognition Using Deep Learning. SMC 2023: 221-227 - 2022
- [c3]Santos Bringas, Rafael Duque, José Luis Montaña, Carmen Lage:
Development of a Quantitative Tool Based on Deep Learning for Automatic Apraxia Detection (DLAAD). UCAmI 2022: 246-251 - 2021
- [c2]Rafael Duque, Santos Bringas, José Luis Montaña:
Active Learning based on Electronic Focus Groups and Participatory Design during the COVID-19 period. TEEM 2021: 67-71 - 2020
- [j1]Santos Bringas, Sergio Salomón, Rafael Duque, Carmen Lage, José Luis Montaña:
Alzheimer's Disease stage identification using deep learning models. J. Biomed. Informatics 109: 103514 (2020)
2010 – 2019
- 2019
- [c1]Santos Bringas, Sergio Salomón, Rafael Duque, José Luis Montaña, Carmen Lage:
A Convolutional Neural Network-Based Method for Human Movement Patterns Classification in Alzheimer's Disease. UCAmI 2019: 72
Coauthor Index
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