66 citations · 131 across the 6 of their papers we have counts for
6 papers
Hybrid Classic-Quantum Computing for Staging of Invasive Ductal Carcinoma of Breast
Vicente Moret-Bonillo, Eduardo Mosqueira-Rey, Samuel Magaz-Romero +1
Despite the great current relevance of Artificial Intelligence, and the extraordinary innovations that this discipline has brought to many fields -among which, without a doubt, med…
Inter-database validation of a deep learning approach for automatic sleep scoring
Diego Alvarez-Estevez, Roselyne M. Rijsman
In this work we describe a new deep learning approach for automatic sleep staging, and carry out its validation by addressing its generalization capabilities on a wide range of sle…
Addressing database variability in learning from medical data: an ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring
Diego Alvarez-Estevez, Isaac Fernández-Varela
In this work we examine some of the problems associated with the development of machine learning models with the objective to achieve robust generalization capabilities on common-t…
A Convolutional Network for Sleep Stages Classification
Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Alvarez-Estevez +1
Sleep stages classification is a crucial task in the context of sleep studies. It involves the simultaneous analysis of multiple signals recorded during sleep. However, it is compl…
Uncertainty in Quantum Rule-Based Systems
Vicente Moret-Bonillo, Isaac Fernández-Varela, Diego Alvarez-Estevez
This article deals with the problem of the uncertainty in rule-based systems (RBS), but from the perspective of quantum computing (QC). In this work we first remember the character…
Large-scale validation of an automatic EEG arousal detection algorithm using different heterogeneous databases
Diego Alvarez-Estevez, Isaac Fernández-Varela
: To assess the validity of an automatic EEG arousal detection algorithm using large patient samples and different heterogeneous databases : A…