Juhyeon Lee
Cited by
Cited by
Intelligent IoT connectivity: Deep reinforcement learning approach
M Kwon, J Lee, H Park
IEEE Sensors Journal 20 (5), 2782-2791, 2019
Analysis of gait sub-movements to estimate ataxia severity using ankle inertial data
J Lee, B Oubre, JF Daneault, CD Stephen, JD Schmahmann, AS Gupta, ...
IEEE Transactions on Biomedical Engineering 69 (7), 2314-2323, 2022
Multiple kernel learning with hierarchical feature representations
J Lee, JH Lim, H Choi, DS Kim
Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013
Envisioning the use of in-situ arm movement data in stroke rehabilitation: Stroke survivors’ and occupational therapists’ perspectives
HT Jung, Y Kim, J Lee, SI Lee, EK Choe
Plos one 17 (10), e0274142, 2022
Estimating the quality of reaching movements in stroke survivors
J Lee, HT Jung, SI Lee
2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021
Learning to Activate Relay Nodes: Deep Reinforcement Learning Approach
M Kwon, J Lee, H Park
arXiv preprint arXiv:1811.09759, 2018
Estimation of ataxia severity in children with ataxia-telangiectasia using ankle-worn sensors
J Lee, B Oubre, JF Daneault, SI Lee, AS Gupta
Journal of Neurology 270 (10), 5097-5101, 2023
Apparent volitional behavior selection based on memory predictions
JC Park, JH Yoo, J Lee, DS Kim
Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012
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