Motor Imagery Classification Based on Local Log Riemannian Distance Matrices Selected by Confusion Area Score. - Jinhyo Shin; Wonzoo Chung (ACPR (1), 2021)

Motor Imagery Classification based on Multi-Kernel CNN with the amalgamated Cross Entropy Loss. - Jinhyo Shin; Wonzoo Chung (BCI, 2022)

Multi-class Motor Imagery Classification using Multi-class SVM with Multi-band Riemannian Tangent Space Mapping. - Jinhyo Shin; Wonzoo Chung (BCI, 2023)

Multi-Band CNN With Band-Dependent Kernels and Amalgamated Cross Entropy Loss for Motor Imagery Classification. - Jinhyo Shin; Wonzoo Chung (IEEE J. Biomed. Health Informatics, 2023)

Channel-optimized Local Region Riemannian Approach for Motor Imagery Classification. - Jinhyo Shin; Wonzoo Chung (BCI, 2024)

Multiband Convolutional Riemannian Network With Band-Wise Riemannian Triplet Loss for Motor Imagery Classification. - Jinhyo Shin; Wonzoo Chung (IEEE J. Biomed. Health Informatics, 2024)