Extracting patterns of single-trial EEG using an adaptive learning algorithm. - Chin-Teng Lin; Yu-Kai Wang; Chieh-Ning Fang; Yi-Hsin Yu; Jung-Tai King (EMBC, 2015)

Developing a novel multi-fusion brain-computer interface (BCI) system with particle swarm optimization for motor imagery task. - Tsung-Yu Hsieh; Yang-Yin Lin; Yu-Ting Liu; Chieh-Ning Fang; Chin-Teng Lin (FUZZ-IEEE, 2015)

Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets. - Chin-Teng Lin; Tsung-Yu Hsieh; Yu-Ting Liu; Yang-Yin Lin; Chieh-Ning Fang; Yu-Kai Wang; Gary G. Yen; Nikhil R. Pal; Chun-Hsiang Chuang (IEEE Trans. Knowl. Data Eng., 2018)

An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG. - Chin-Teng Lin; Yu-Ting Liu; Chun-Hsiang Chuang; Nikhil R. Pal; Yang-Yin Lin; Tsung-Yu Hsieh; Chieh-Ning Fang; Zehong Cao (CoRR, 2019)

Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface. - Chin-Teng Lin; Kuan-Chih Huang; Nikhil R. Pal; Zehong Cao; Yu-Ting Liu; Chieh-Ning Fang; Tsung-Yu Hsieh; Yang-Yin Lin; Shang-Lin Wu (iFUZZY, 2020)

Multi-Subspace Neural Network for Image Recognition. - Chieh-Ning Fang; Chin-Teng Lin (CoRR, 2020)

EEG data analysis with stacked differentiable neural computers. - Yurui Ming; Danilo Pelusi; Chieh-Ning Fang; Mukesh Prasad; Yu-Kai Wang; Dongrui Wu; Chin-Teng Lin (Neural Comput. Appl., 2020)

A Driving Performance Forecasting System Based on Brain Dynamic State Analysis Using 4-D Convolutional Neural Networks. - Chin-Teng Lin; Chun-Hsiang Chuang; Yu-Chia Hung; Chieh-Ning Fang; Dongrui Wu; Yu-Kai Wang (IEEE Trans. Cybern., 2021)

Multistream 3-D Convolution Neural Network With Parameter Sharing for Human State Estimation. - Chin-Teng Lin; Jia Liu; Chieh-Ning Fang; Shih-Ying Hsiao; Yu-Cheng Chang; Yu-Kai Wang (IEEE Trans. Cogn. Dev. Syst., 2023)