| 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 | 25 | 2018 |
| 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 | 22 | 2021 |
| 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 | 17 | 2020 |
| 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 | 15 | 2019 |
| 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 | 10 | 2021 |
| 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 | 10 | 2019 |
| 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 | 7 | 2021 |
| 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 | 4 | 2021 |
| 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 | 3 | 2020 |
| 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 | 1 | 2021 |
| 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 |
Heung-Il SukDept. of Artificial Intelligence, Dept. of Brain and Cognitive Engineering, Koreakorea.ac.kr의 이메일 확인됨
