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Clustering and Data Augmentation to Improve Accuracy of Sleep Assessment and Sleep Individuality Analysis

Clustering and Data Augmentation to Improve Accuracy of Sleep Assessment and Sleep Individuality Analysis

Shintaro Tamai
M. Numao
Ken-ichi Fukui
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Papers citing "Clustering and Data Augmentation to Improve Accuracy of Sleep Assessment and Sleep Individuality Analysis"

3 / 3 papers shown
Title
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification
SleepTransformer: Automatic Sleep Staging with Interpretability and Uncertainty Quantification
Huy P Phan
Kaare B. Mikkelsen
Oliver Y. Chén
P. Koch
Alfred Mertins
M. D. Vos
63
184
0
23 May 2021
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
João Bento
Pedro Saleiro
André F. Cruz
Mário A. T. Figueiredo
P. Bizarro
FAtt
AI4TS
37
88
0
30 Nov 2020
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
744
21,613
0
22 May 2017

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