Sfoglia Grupos de Investigación per Soggetto "1203.04 Inteligencia Artificial"

An Explainable Deep-Learning Approach to Detect Pediatric Sleep Apnea From Single-Channel Airflow

Barroso García, Verónica

; Vaquerizo Villar, Fernando

; Gutierrez Tobal, Gonzalo César

; Dayyat, Ehab; Gozal, David; Leppänen, Timo; Hornero Sánchez, Roberto

(2025)

An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea

Vaquerizo Villar, Fernando

; Gutierrez Tobal, Gonzalo César

; Calvo, Eva; Álvarez González, Daniel

; Kheirandish Gozal, Leila; Campo Matias, Félix del

; Gozal, David; Hornero Sánchez, Roberto

(2023-10)

Beyond the Ground Truth, XGBoost Model Applied to Sleep Spindle Event Detection

Gurdiel, Enrique; Vaquerizo Villar, Fernando

; Gómez Pilar, Javier

; Gutierrez Tobal, Gonzalo César

; Campo Matias, Félix del

; Hornero Sánchez, Roberto

(2025)

Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis

Barroso García, Verónica

; Gutierrez Tobal, Gonzalo César

; Kheirandish Gozal, Leila; Vaquerizo Villar, Fernando

; Álvarez González, Daniel

; Campo Matias, Félix del

; Gozal, David; Hornero Sánchez, Roberto

(2021)

Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpO2

García Vicente, Clara; Gutierrez Tobal, Gonzalo César

; Vaquerizo Villar, Fernando

; Martín Montero, Adrián

; Gozal, David; Hornero Sánchez, Roberto

(2026)

Detrended fluctuation analysis of the oximetry signal to assist in paediatric sleep apnoea–hypopnoea syndrome diagnosis

Vaquerizo Villar, Fernando

; Álvarez González, Daniel

; Kheirandish Gozal, Leila; Gutierrez Tobal, Gonzalo César

; Barroso García, Verónica

; Crespo, Andrea; Campo Matias, Félix del

; Gozal, David; Hornero Sánchez, Roberto

(2018)

ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis

García Vicente, Clara; Gutierrez Tobal, Gonzalo César

; Jimenez García, Jorge

; Martín Montero, Adrián

; Gozal, David; Hornero Sánchez, Roberto

(2023)

Gender stereotypes in AI-generated images

García Ull, Francisco José; Melero Lázaro, Mónica

(2023)

Low-energy inference machine with multilevel HfO2 RRAM arrays

Milo, V.; Zambelli, Cristian; Olivo, P.; Pérez, Eduardo; González Ossorio, Óscar

; Wenger, Christian; Ielmini, Daniele (2019)

SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis

García Vicente, Clara; Gutierrez Tobal, Gonzalo César

; Vaquerizo Villar, Fernando

; Martín Montero, Adrián

; Gozal, David; Hornero Sánchez, Roberto

(2025)

Usefulness of recurrence plots from airflow recordings to aid in paediatric sleep apnoea diagnosis

Barroso García, Verónica

; Gutierrez Tobal, Gonzalo César

; Kheirandish Gozal, Leila; Álvarez González, Daniel

; Vaquerizo Villar, Fernando

; Núñez Novo, Pablo

; Campo Matias, Félix del

; Gozal, David; Hornero Sánchez, Roberto

(2020-01)

Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings

Vaquerizo Villar, Fernando

; Álvarez González, Daniel

; Kheirandish Gozal, Leila; Gutierrez Tobal, Gonzalo César

; Barroso García, Verónica

; Crespo, Andrea; Campo Matias, Félix del

; Gozal, David; Hornero Sánchez, Roberto

(2018)

Wavelet analysis of oximetry recordings to assist in the automated detection of moderate-to-severe pediatric sleep apnea-hypopnea syndrome

Vaquerizo Villar, Fernando

; Álvarez González, Daniel

; Kheirandish Gozal, Leila; Gutierrez Tobal, Gonzalo César

; Barroso García, Verónica

; Crespo, Andrea; Campo Matias, Félix del

; Gozal, David; Hornero Sánchez, Roberto

(2018)

Sfoglia Grupos de Investigación per Soggetto "1203.04 Inteligencia Artificial"

An Explainable Deep-Learning Approach to Detect Pediatric Sleep Apnea From Single-Channel Airflow ﻿

An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea ﻿

Beyond the Ground Truth, XGBoost Model Applied to Sleep Spindle Event Detection ﻿

Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis ﻿

Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpO2 ﻿

Detrended fluctuation analysis of the oximetry signal to assist in paediatric sleep apnoea–hypopnoea syndrome diagnosis ﻿

ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis ﻿

Gender stereotypes in AI-generated images ﻿

Low-energy inference machine with multilevel HfO2 RRAM arrays ﻿

SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis ﻿

Usefulness of recurrence plots from airflow recordings to aid in paediatric sleep apnoea diagnosis ﻿

Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings ﻿

Wavelet analysis of oximetry recordings to assist in the automated detection of moderate-to-severe pediatric sleep apnea-hypopnea syndrome ﻿

An Explainable Deep-Learning Approach to Detect Pediatric Sleep Apnea From Single-Channel Airflow

An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea

Beyond the Ground Truth, XGBoost Model Applied to Sleep Spindle Event Detection

Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis

Combined explainable deep learning model to predict pediatric sleep apnea from ECG and SpO2

Detrended fluctuation analysis of the oximetry signal to assist in paediatric sleep apnoea–hypopnoea syndrome diagnosis

ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis

Gender stereotypes in AI-generated images

Low-energy inference machine with multilevel HfO2 RRAM arrays

SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis

Usefulness of recurrence plots from airflow recordings to aid in paediatric sleep apnoea diagnosis

Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings

Wavelet analysis of oximetry recordings to assist in the automated detection of moderate-to-severe pediatric sleep apnea-hypopnea syndrome