A systematic approach to API usability: Taxonomy-derived criteria and a case study E Mosqueira-Rey, D Alonso-Ríos, V Moret-Bonillo, I Fernández-Varela, ... Information and Software Technology 97, 46-63, 2018 | 65 | 2018 |
Combining machine learning models for the automatic detection of EEG arousals I Fernández-Varela, E Hernández-Pereira, D Álvarez-Estévez, ... Neurocomputing 268, 100-108, 2017 | 46 | 2017 |
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 D Alvarez-Estevez, I Fernández-Varela Computers in Biology and Medicine 119, 103697, 2020 | 23 | 2020 |
A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings I Fernández-Varela, D Alvarez-Estevez, E Hernández-Pereira, ... Computers in Biology and Medicine 87, 77-86, 2017 | 21 | 2017 |
Large-scale validation of an automatic EEG arousal detection algorithm using different heterogeneous databases D Alvarez-Estevez, I Fernández-Varela Sleep Medicine 57, 6-14, 2019 | 19 | 2019 |
Sleep staging with deep learning: a convolutional model I Fernández-Varela, D Athanasakis, S Parsons, E Hernández-Pereira, ... 26th European Symposium on Artificial Neural Networks, Computational …, 2018 | 12 | 2018 |
A convolutional network for sleep stages classification I Fernández-Varela, E Hernández-Pereira, D Alvarez-Estevez, ... arXiv preprint arXiv:1902.05748, 2019 | 11 | 2019 |
A convolutional network for the classification of sleep stages I Fernández-Varela, E Hernández-Pereira, V Moret-Bonillo Proceedings 2 (18), 1174, 2018 | 10 | 2018 |
Uncertainty in quantum rule-based systems V Moret-Bonillo, I Fernández-Varela, D Álvarez-Estévez arXiv preprint arXiv:1811.02782, 2018 | 5 | 2018 |
A comparison of performance of sleep spindle classification methods using wavelets E Hernandez-Pereira, I Fernandez-Varela, V Moret-Bonillo International Conference on Innovation in Medicine and Healthcare, 61-70, 2016 | 5 | 2016 |
Automatic detection of EEG arousals I Fernández-Varela, E Hernández-Pereira, D Álvarez-Estévez, ... 24th European Symposium on Artificial Neural Networks Bruges, Belgium, April …, 2016 | 3 | 2016 |
On the automation of medical knowledge and medical decision support systems V Moret-Bonillo, I Fernández-Varela, E Hernández-Pereira, ... Advances in Biomedical Informatics, 187-217, 2018 | 2 | 2018 |
Mejora de la motivación del alumnado mediante la realización de un debate en la materia de Sistemas Inteligentes V Bolón-Canedo, A Alonso-Betanzos, D Alonso Ríos, I Fernández-Varela, ... Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI) 3, 239-246, 2018 | 1 | 2018 |
Large-scale validation of an automatic EEG arousal detection algorithm using different databases D Alvarez-Estevez, I Fernández-Varela arXiv preprint arXiv: 180906216, 2018 | 1 | 2018 |
Algorithms for Sleep Medicine I Fernández-Varela | | 2019 |
Una red convolucional para la clasificación de las fases de sueño IF Varela, E Hernández-Pereira, DÁ Estévez, V Moret-Bonillo XVIII Conferencia de la Asociación Española para la Inteligencia Artificial …, 2018 | | 2018 |
Outlining a simple and robust method for the automatic detection of EEG arousals I Fernández-Varela, D Alvarez-Estévez, E Hernández-Pereira, ... 25th European Symposium on Artificial Neural Networks 25, 2017 | | 2017 |