팔로우
Wonjun Ko
Wonjun Ko
Department of Brain and Cognitive Engineering, Korea University
korea.ac.kr의 이메일 확인됨 - 홈페이지
제목
인용
인용
연도
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
252018
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
222021
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
172020
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
152019
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
102021
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
102019
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
72021
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
42021
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
32020
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
12021
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
2022
A Deep Generative–Discriminative Learning for Multi-modal Representation in Imaging Genetics
W Ko, W Jung, E Jeon, HI Suk
IEEE Transactions on Medical Imaging, 2022
2022
TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging
J Phyo, W Ko, E Jeon, HI Suk
arXiv preprint arXiv:2203.12590, 2022
2022
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), 1-14, 2022
2022
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
2022
Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition
W Ko, E Jeon, HI Suk
Asian Conference on Pattern Recognition, 335-346, 2022
2022
Efficient Continuous Manifold Learning for Time Series Modeling
S Jeong, W Ko, AW Mulyadi, HI Suk
arXiv preprint arXiv:2112.03379, 2021
2021
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
2021
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
2021
조기 경도인지장애 진단을 위한 뇌 영역간 지역적 관계 표현 학습
이지연, 고원준, 강은송, 석흥일
한국정보과학회 학술발표논문집, 575-577, 2020
2020
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–20