V‐Awake: A Visual Analytics Approach for Correcting Sleep Predictions from Deep Learning Models

Author:

Garcia Caballero Humberto S.1ORCID,Westenberg Michel A.1ORCID,Gebre Binyam2,van Wijk Jarke J.1

Affiliation:

1. Eindhoven University of Technology The Netherlands

2. Philips ResearchThe Netherlands

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Reference52 articles.

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3. BerryR. B. BrooksR. GamaldoC. E. HardingS. M. MarcusC. VaughnB. et al.: The aasm manual for the scoring of sleep and associated events.Rules Terminology and Technical Specifications Darien Illinois American Academy of Sleep Medicine(2012). 2 9

4. BiswalS. KulasJ. SunH. GoparajuB. WestoverM. B. BianchiM. T. SunJ.: Sleepnet: Automated sleep staging system via deep learning.arXiv preprint arXiv:1707.08262(2017). 2

5. ChenX. Lawrence ZitnickC.: Mind's eye: A recurrent visual representation for image caption generation. InProceedings of the IEEE conference on computer vision and pattern recognition(2015) pp.2422–2431. 2

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