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Wonjun Ko
Wonjun Ko
Assistant Professor, School of AI Convergence, Sungshin Women's University
sungshin.ac.kr의 이메일 확인됨
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Multi-scale neural network for EEG representation learning in BCI
W Ko, E Jeon, S Jeong, HI Suk
IEEE Computational Intelligence Magazine 16 (2), 31-45, 2021
692021
Mutual information-driven subject-invariant and class-relevant deep representation learning in BCI
E Jeon, W Ko, JS Yoon, HI Suk
IEEE Transactions on Neural Networks and Learning Systems, 2021
542021
Vignet: A deep convolutional neural network for eeg-based driver vigilance estimation
W Ko, K Oh, E Jeon, HI Suk
2020 8th International Winter Conference on Brain-Computer Interface (BCI), 1-3, 2020
442020
Deep recurrent spatio-temporal neural network for motor imagery based BCI
W Ko, J Yoon, E Kang, E Jun, JS Choi, HI Suk
2018 6th International Conference on Brain-Computer Interface (BCI), 1-3, 2018
362018
Domain adaptation with source selection for motor-imagery based BCI
E Jeon, W Ko, HI Suk
2019 7th International Winter Conference on Brain-Computer Interface (BCI), 1-4, 2019
322019
A survey on deep learning-based short/zero-calibration approaches for EEG-based brain–computer interfaces
W Ko, E Jeon, S Jeong, J Phyo, HI Suk
Frontiers in Human Neuroscience 15, 643386, 2021
302021
Semi-supervised deep adversarial learning for brain-computer interface
W Ko, E Jeon, J Lee, HI Suk
2019 7th international winter conference on brain-computer interface (BCI), 1-4, 2019
182019
A unified framework for personalized regions selection and functional relation modeling for early MCI identification
J Lee, W Ko, E Kang, HI Suk, Alzheimer’s Disease Neuroimaging Initiative
NeuroImage 236, 118048, 2021
172021
TransSleep: Transitioning-Aware attention-based deep neural network for sleep staging
J Phyo, W Ko, E Jeon, HI Suk
IEEE Transactions on Cybernetics, 2022
132022
A deep generative–discriminative learning for multimodal representation in imaging genetics
W Ko, W Jung, E Jeon, HI Suk
IEEE Transactions on Medical Imaging 41 (9), 2348-2359, 2022
112022
Efficient continuous manifold learning for time series modeling
S Jeong, W Ko, AW Mulyadi, HI Suk
arXiv preprint arXiv:2112.03379, 2021
82021
A novel RL-assisted deep learning framework for task-informative signals selection and classification for spontaneous BCIs
W Ko, E Jeon, HI Suk
IEEE Transactions on Industrial Informatics 18 (3), 1873-1882, 2020
82020
Enhancing contextual encoding with stage-confusion and stage-transition estimation for EEG-based sleep staging
J Phyo, W Ko, E Jeon, HII Suk
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
72022
Semi-supervised generative and discriminative adversarial learning for motor imagery-based brain–computer interface
W Ko, E Jeon, JS Yoon, HI Suk
Scientific reports 12 (1), 4587, 2022
62022
Electrophysiological decoding of spatial and color processing in human prefrontal cortex
BK Min, HS Kim, W Ko, MH Ahn, HI Suk, D Pantazis, RT Knight
NeuroImage 237, 118165, 2021
42021
Eeg-oriented self-supervised learning and cluster-aware adaptation
W Ko, HI Suk
Proceedings of the 31st ACM International Conference on Information …, 2022
32022
Fine-grained Temporal Attention Network for EEG-based Seizure Detection
S Jeong, E Jeon, W Ko, HI Suk
2021 9th International Winter Conference on Brain-Computer Interface (BCI), 1-4, 2021
32021
ENGINE: Enhancing neuroimaging and genetic information by neural embedding
W Ko, W Jung, E Jeon, AW Mulyadi, HI Suk
2021 IEEE International Conference on Data Mining (ICDM), 1162-1167, 2021
22021
Continuous Riemannian Geometric Learning for Sleep Staging Classification
S Jeong, W Ko, AW Mulyadi, HI Suk
2022 10th International Winter Conference on Brain-Computer Interface (BCI), 1-2, 2022
12022
Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition
W Ko, E Jeon, HI Suk
Asian Conference on Pattern Recognition, 335-346, 2021
12021
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학술자료 1–20