GIB - Artículos de revista

Aviso: Si va a participar en la campaña de sexenios 2024, le recomendamos que deposite en UVaDoc de forma preferente las aportaciones que vaya a presentar a dicha convocatoria (opción Autoarchivo). El resto de sus publicaciones podrá subirlas al repositorio en cualquier otro momento. Gracias.

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Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values

Pérez Velasco, Sergio ; Marcos Martínez, Diego ; SantaMaría Vazquez, Eduardo ; Martínez Cagigal, Víctor ; Moreno Calderón, Selene; Hornero Sánchez, Roberto (2024)
Reliability of Machine Learning to Diagnose Pediatric Obstructive Sleep Apnea: Systematic Review and Meta-Analysis

Gutierrez-Tobal, Gonzalo C.; Álvarez, Daniel; Kheirandish Gozal, Leila; Campo Matias, Félix del ; Gozal, David; Hornero Sánchez, Roberto (2022)
Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults

Gutierrez-Tobal, Gonzalo C.; Álvarez, Daniel; Vaquerizo Villar, Fernando ; Crespo, Andrea; Kheirandish Gozal, Leila; Gozal, David; del Campo, Félix; Hornero Sánchez, Roberto (2021)
Linear and nonlinear analysis of airflow recordings to help in sleep apnoea–hypopnoea syndrome diagnosis

Gutiérrez Tobal, Gonzalo César; Hornero Sánchez, Roberto ; Álvarez, Daniel; Marcos, José Víctor; Campo Matias, Félix del (2012)
Unveiling the alterations in the frequency-dependent connectivity structure of MEG signals in mild cognitive impairment and Alzheimer’s disease

Rodríguez González, Víctor ; Núñez Novo, Pablo ; Gómez Peña, Carlos ; Hoshi, Hideyuki; Shigihara, Yoshihito; Hornero Sánchez, Roberto ; Poza Crespo, Jesús (2024)

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GIB - Artículos de revista

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Envíos recientes

Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values ﻿

Reliability of Machine Learning to Diagnose Pediatric Obstructive Sleep Apnea: Systematic Review and Meta-Analysis ﻿

Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults ﻿

Linear and nonlinear analysis of airflow recordings to help in sleep apnoea–hypopnoea syndrome diagnosis ﻿

Unveiling the alterations in the frequency-dependent connectivity structure of MEG signals in mild cognitive impairment and Alzheimer’s disease ﻿

Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values

Reliability of Machine Learning to Diagnose Pediatric Obstructive Sleep Apnea: Systematic Review and Meta-Analysis

Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults

Linear and nonlinear analysis of airflow recordings to help in sleep apnoea–hypopnoea syndrome diagnosis

Unveiling the alterations in the frequency-dependent connectivity structure of MEG signals in mild cognitive impairment and Alzheimer’s disease