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Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.

, , , , , , and . npj Digit. Medicine, (2024)

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Self-supervised Learning for Human Activity Recognition Using 700, 000 Person-days of Wearable Data., , , , , and . CoRR, (2022)Self-supervised learning for human activity recognition using 700,000 person-days of wearable data., , , , , , and . npj Digit. Medicine, (2024)Parametric generation of conditional geological realizations using generative neural networks., and . CoRR, (2018)A machine learning approach for efficient uncertainty quantification using multiscale methods., and . J. Comput. Phys., (2018)Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks., and . CoRR, (2018)Parametrization of stochastic inputs using generative adversarial networks with application in geology., and . CoRR, (2019)CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition., , , , , , and . CoRR, (2024)A machine learning approach for efficient uncertainty quantification using multiscale methods., and . CoRR, (2017)Multi-Layer Competitive-Cooperative Framework for Performance Enhancement of Differential Evolution., , , , and . CoRR, (2018)A new recursive algorithm for time-varying autoregressive (TVAR) model estimation and its application to speech analysis., , , and . ISCAS, page 1026-1029. IEEE, (2012)