| Spatio-spectral feature representation for motor imagery classification using convolutional neural networks JS Bang, MH Lee, S Fazli, C Guan, SW Lee IEEE Transactions on Neural Networks and Learning Systems 33 (7), 3038-3049, 2021 | 120 | 2021 |
| Classification of visual perception and imagery based EEG signals using convolutional neural networks JS Bang, JH Jeong, DO Won 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 1-6, 2021 | 15 | 2021 |
| A design of a TV advertisement effectiveness analysis system using SNS big-data A Lee, J Bang, Y Kim KIISE Transactions on Computing Practices 21 (9), 579-586, 2015 | 14 | 2015 |
| Interpretable convolutional neural networks for subject-independent motor imagery classification JS Bang, SW Lee 2022 10th International Winter Conference on Brain-Computer Interface (BCI), 1-5, 2022 | 6 | 2022 |
| Classification of motion sickness levels using multimodal biosignals in real driving conditions JU Hwang, JS Bang, SW Lee 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 4 | 2022 |
| Motion sickness prediction based on dry EEG in real driving environment JS Bang, DO Won, TE Kam, SW Lee IEEE Transactions on Intelligent Transportation Systems 24 (5), 5442-5455, 2023 | 3 | 2023 |
| Motor imagery classification based on CNN-GRU network with spatio-temporal feature representation JS Bang, SW Lee Asian Conference on Pattern Recognition, 104-115, 2021 | 1 | 2021 |
| A Hadoop-based System of Analyzing Real-time Advertisement Effectiveness in Social Network J Bang, A Lee, YJ Ock, Y Kim Proceedings of the Korea Information Processing Society Conference, 73-76, 2014 | | 2014 |
