output
20182022
most citedInter-database validation of a deep learning approach for automatic sleep scoring

66 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.LG2020★ 66 cited

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…

cs.LG2019★ 24 cited

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…