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Isaac Fernández-Varela
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2020 – today
- 2020
- [j4]Diego Álvarez-Estévez
, Isaac Fernández-Varela:
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. Comput. Biol. Medicine 119: 103697 (2020)
2010 – 2019
- 2019
- [i3]Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo:
A Convolutional Network for Sleep Stages Classification. CoRR abs/1902.05748 (2019) - [i2]Diego Álvarez-Estévez, Isaac Fernández-Varela:
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. CoRR abs/1906.06666 (2019) - 2018
- [j3]Eduardo Mosqueira-Rey, David Alonso-Ríos
A systematic approach to API usability: Taxonomy-derived criteria and a case study. Inf. Softw. Technol. 97: 46-63 (2018) - [c3]Isaac Fernández-Varela, Dimitrios Athanasakis, Samuel Parsons, Elena Hernández-Pereira, Vicente Moret-Bonillo:
Sleep staging with deep learning: a convolutional model. ESANN 2018 - [i1]Vicente Moret-Bonillo, Isaac Fernández-Varela, Diego Álvarez-Estévez:
Uncertainty in Quantum Rule-Based Systems. CoRR abs/1811.02782 (2018) - 2017
- [j2]Isaac Fernández-Varela
A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings. Comput. Biol. Medicine 87: 77-86 (2017) - [j1]Isaac Fernández-Varela
Combining machine learning models for the automatic detection of EEG arousals. Neurocomputing 268: 100-108 (2017) - [c2]Isaac Fernández-Varela, Diego Álvarez-Estévez, Elena Hernández-Pereira, Vicente Moret-Bonillo:
Outlining a simple and robust method for the automatic detection of EEG arousals. ESANN 2017 - 2016
- [c1]Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo:
Automatic detection of EEG arousals. ESANN 2016
Coauthor Index
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