31 citations · 64 across the 4 of their papers we have counts for
4 papers
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…