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…