Single-Source to Single-Target Cross-Subject Motor Imagery Classification Based on Multisubdomain Adaptation Network
Author:
Affiliation:
1. School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China
2. Design School, Xi’an Jiaotong-Liverpool University, Suzhou, China
3. Department of Computer Science, Brunel University London, Uxbridge, Middlesex, U.K
Funder
National Natural Science Foundation of China
Jiangsu Provincial Qinglan Project 2021;
Suzhou Science and Technology Programme
Research Development Fund of Xi’an Jiaotong-Liverpool University
Key Program Special Fund in XJTLU
Natural Science Foundation of the Jiangsu Higher Education Institutions of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/9695946/09832019.pdf?arnumber=9832019
Reference70 articles.
1. Deep Subdomain Adaptation Network for Image Classification
2. Domain Adaptation via Transfer Component Analysis
3. Learning Invariant Representations From EEG via Adversarial Inference
4. Transfer Feature Learning with Joint Distribution Adaptation
5. A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer
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