Automatic detection of EEG arousals. - Isaac Fernández-Varela; Elena Hernández-Pereira; Diego Álvarez-Estévez; Vicente Moret-Bonillo (ESANN, 2016)

Outlining a simple and robust method for the automatic detection of EEG arousals. - Isaac Fernández-Varela; Diego Álvarez-Estévez; Elena Hernández-Pereira; Vicente Moret-Bonillo (ESANN, 2017)

A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings. - Isaac Fernández-Varela; Diego Álvarez-Estévez; Elena Hernández-Pereira; Vicente Moret-Bonillo (Comput. Biol. Medicine, 2017)

Combining machine learning models for the automatic detection of EEG arousals. - Isaac Fernández-Varela; Elena Hernández-Pereira; Diego Álvarez-Estévez; Vicente Moret-Bonillo (Neurocomputing, 2017)

Sleep staging with deep learning: a convolutional model. - Isaac Fernández-Varela; Dimitrios Athanasakis; Samuel Parsons; Elena Hernández-Pereira; Vicente Moret-Bonillo (ESANN, 2018)

Uncertainty in Quantum Rule-Based Systems. - Vicente Moret-Bonillo; Isaac Fernández-Varela; Diego Álvarez-Estévez (CoRR, 2018)

A systematic approach to API usability: Taxonomy-derived criteria and a case study. - Eduardo Mosqueira-Rey; David Alonso-Ríos; Vicente Moret-Bonillo; Isaac Fernández-Varela; Diego Álvarez-Estévez (Inf. Softw. Technol., 2018)

A Convolutional Network for Sleep Stages Classification. - Isaac Fernández-Varela; Elena Hernández-Pereira; Diego Álvarez-Estévez; Vicente Moret-Bonillo (CoRR, 2019)

Dealing with the database variability problem in learning from medical data: an ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring. - Diego Álvarez-Estévez; Isaac Fernández-Varela (CoRR, 2019)

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 Álvarez-Estévez; Isaac Fernández-Varela (Comput. Biol. Medicine, 2020)