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Year | Number of Results |
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2016 | 3 |
2017 | 2 |
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Page 1
Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry.
Sensors (Basel). 2018 May 22;18(5):1654. doi: 10.3390/s18051654.
Sensors (Basel). 2018.
PMID: 29786659
Free PMC article.
Review.
Channel Contribution In Deep Learning Based Automatic Sleep Scoring - How Many Channels Do We Need?
Lu C, Pathak S, Englebienne G, Seifert C.
Lu C, et al. Among authors: englebienne g.
IEEE Trans Neural Syst Rehabil Eng. 2022 Dec 6;PP. doi: 10.1109/TNSRE.2022.3227040. Online ahead of print.
IEEE Trans Neural Syst Rehabil Eng. 2022.
PMID: 37015588
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Delta Features From Ambient Sensor Data are Good Predictors of Change in Functional Health.
Robben S, Englebienne G, Krose B.
Robben S, et al. Among authors: englebienne g.
IEEE J Biomed Health Inform. 2017 Jul;21(4):986-993. doi: 10.1109/JBHI.2016.2593980. Epub 2016 Jul 22.
IEEE J Biomed Health Inform. 2017.
PMID: 27455530
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Learning to Recognize Human Activities Using Soft Labels.
Hu N, Englebienne G, Lou Z, Krose B.
Hu N, et al. Among authors: englebienne g.
IEEE Trans Pattern Anal Mach Intell. 2017 Oct;39(10):1973-1984. doi: 10.1109/TPAMI.2016.2621761. Epub 2016 Oct 26.
IEEE Trans Pattern Anal Mach Intell. 2017.
PMID: 28113744
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Mixture of Switching Linear Dynamics to Discover Behavior Patterns in Object Tracks.
Kooij JF, Englebienne G, Gavrila DM.
Kooij JF, et al. Among authors: englebienne g.
IEEE Trans Pattern Anal Mach Intell. 2016 Feb;38(2):322-34. doi: 10.1109/TPAMI.2015.2443801.
IEEE Trans Pattern Anal Mach Intell. 2016.
PMID: 26761737
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