79 citations · 131 across the 7 of their papers we have counts for
3 papers · 1 filter
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal
Chun-Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang +1
Electroencephalography (EEG) signals are often contaminated with artifacts. It is imperative to develop a practical and reliable artifact removal method to prevent misinterpretatio…
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning
Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi +1
Objective: This study aims to establish a generalized transfer-learning framework for boosting the performance of steady-state visual evoked potential (SSVEP)-based brain-computer…
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks
Lubin Meng, Jian Huang, Zhigang Zeng +6
Research and development of electroencephalogram (EEG) based brain-computer interfaces (BCIs) have advanced rapidly, partly due to deeper understanding of the brain and wide adopti…