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ORCIDJosé A. González-Nóvoa
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2020 – today
- 2024
[j3]Carlos Martínez
, Susana Teijeira, Patricia Domínguez, Silvia Campanioni, Laura Busto, José A. González-Nóvoa, Jacobo Alonso, Eva Poveda, Beatriz San Millán, César Veiga:
Correlating Histopathological Microscopic Images of Creutzfeldt-Jakob Disease with Clinical Typology Using Graph Theory and Artificial Intelligence. Mach. Learn. Knowl. Extr. 6(3): 2018-2032 (2024)- [c3]José A. González-Nóvoa, José Fariña, Juan J. Rodríguez-Andina, César Veiga:
A GPU Pipeline for Hyperparameter Optimization on IoT Platforms: Comparing Pulse-by-Pulse vs. Fixed Time Windows for Cuffless Blood Pressure Estimation. ISIE 2024: 1-6 - 2023
- [j2]José A. González-Nóvoa, Laura Busto, Silvia Campanioni, José Fariña, Juan J. Rodríguez-Andina, Dolores Vila, César Veiga:
Two-Step Approach for Occupancy Estimation in Intensive Care Units Based on Bayesian Optimization Techniques. Sensors 23(3): 1162 (2023) - 2022
- [c2]José A. González-Nóvoa, Laura Busto, Pablo Santana, José Fariña, Juan J. Rodríguez-Andina, Pablo Juan-Salvadores, Víctor Jiménez, Andrés Íñiguez, César Veiga:
Using Bayesian Optimization and Wavelet Decomposition in GPU for Arterial Blood Pressure Estimation. EMBC 2022: 1012-1015 - [c1]Laura Busto, José A. González-Nóvoa, Pablo Juan-Salvadores, Víctor Jiménez, Andrés Íñiguez, César Veiga:
Using Deep Learning on X-ray Orthogonal Coronary Angiograms for Quantitative Coronary Analysis. MIUA 2022: 869-881 - 2021
- [j1]José A. González-Nóvoa, Laura Busto, Juan J. Rodríguez-Andina, José Fariña, Marta Segura, Vanesa Gómez, Dolores Vila, César Veiga:
Using Explainable Machine Learning to Improve Intensive Care Unit Alarm Systems. Sensors 21(21): 7125 (2021)
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