Motor Imagery Classification Based on CNN-GRU Network with Spatio-Temporal Feature Representation. - Ji-Seon Bang; Seong-Whan Lee (ACPR (1), 2021)

Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks. - Ji-Seon Bang; Ji-Hoon Jeong; Dong-Ok Won (BCI, 2021)

Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification. - Ji-Seon Bang; Seong-Whan Lee (BCI, 2022)

Classification of Motion Sickness Levels using Multimodal Biosignals in Real Driving Conditions. - Ji-Un Hwang; Ji-Seon Bang; Seong-Whan Lee (SMC, 2022)

Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks. - Ji-Seon Bang; Min-Ho Lee; Siamac Fazli; Cuntai Guan; Seong-Whan Lee (IEEE Trans. Neural Networks Learn. Syst., 2022)

Motion Sickness Prediction Based on Dry EEG in Real Driving Environment. - Ji-Seon Bang; Dong-Ok Won; Tae-Eui Kam; Seong-Whan Lee (IEEE Trans. Intell. Transp. Syst., 2023)