| 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 | 83 | 2021 |
| 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 34 (2), 739-749, 2021 | 66 | 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 | 47 | 2020 |
| 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 | 42 | 2018 |
| 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 | 38 | 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 | 35 | 2021 |
| TransSleep: Transitioning-aware attention-based deep neural network for sleep staging J Phyo, W Ko, E Jeon, HI Suk IEEE Transactions on Cybernetics 53 (7), 4500-4510, 2022 | 23 | 2022 |
| 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 | 20 | 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 | 19 | 2019 |
| 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 | 16 | 2022 |
| 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 | 10 | 2020 |
| 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 | 8 | 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), 4587, 2022 | 8 | 2022 |
| Efficient continuous manifold learning for time series modeling S Jeong, W Ko, AW Mulyadi, HI Suk arXiv preprint arXiv: 2112.03379, 2021 | 8 | 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 | 7 | 2021 |
| Deep efficient continuous manifold learning for time series modeling S Jeong, W Ko, AW Mulyadi, HI Suk IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 4 | 2023 |
| Eeg-oriented self-supervised learning and cluster-aware adaptation W Ko, HI Suk Proceedings of the 31st ACM International Conference on Information …, 2022 | 4 | 2022 |
| Spectro-spatio-temporal eeg representation learning for imagined speech recognition W Ko, E Jeon, HI Suk Asian Conference on Pattern Recognition, 335-346, 2021 | 3 | 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 | 3 | 2021 |
| 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 | 2 | 2021 |
Heung-Il SukDepartment of Artificial Intelligence, Korea Universitykorea.ac.kr의 이메일 확인됨
