| 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 |
| Enriched representation learning in resting-state fMRI for early MCI diagnosis E Jeon, E Kang, J Lee, J Lee, TE Kam, HI Suk International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 7 | 2020 |
| 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 |
| Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision W Jung, DW Heo, E Jeon, J Lee, HI Suk International Conference on Medical Image Computing and Computer-Assisted …, 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 |
| 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 |
| Meta-modulation Network for Domain Generalization in Multi-site fMRI Classification J Lee, E Kang, E Jeon, HI Suk International Conference on Medical Image Computing and Computer-Assisted …, 2021 | | 2021 |
| Fine-Grained Attention for Weakly Supervised Object Localization J Sohn, E Jeon, W Jung, E Kang, HI Suk arXiv preprint arXiv:2104.04952, 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 |
Heung-Il SukDept. of Artificial Intelligence, Dept. of Brain and Cognitive Engineering, Koreakorea.ac.kr의 이메일 확인됨
