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Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands

Research article (2019 IEEE International Conference on Healthcare Informatics (ICHI), 2019) · cited 22× · AI/ML
academia openalex:W2990363553
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Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands

Summary

Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands is a scholarly article[1].

Key Facts

  • Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-resampling-and-machine-learning-to-improve-sleep-wake-detection-of-fitbit-wristbands
MLA “Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-resampling-and-machine-learning-to-improve-sleep-wake-detection-of-fitbit-wristbands.
BibTeX @misc{4ortxyz_combining-resampling-and-machine-learning-to-improve-sleep-wake-detection-of-fitbit-wristbands_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands}}, year = {2026}, url = {https://4ort.xyz/entity/combining-resampling-and-machine-learning-to-improve-sleep-wake-detection-of-fitbit-wristbands}, note = {Accessed: 2026-05-24}}
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