A Multimodal Approach for Identifying Autism Spectrum Disorders in Children-Reference-Cited by-同舟云学术

A Multimodal Approach for Identifying Autism Spectrum Disorders in Children

Published:2022 Issue: Volume:30 Page:2003-2011
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Han Junxia¹,Jiang Guoqian²^ORCID,Ouyang Gaoxiang³^ORCID,Li Xiaoli³^ORCID

Affiliation:

1. Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, China

2. School of Electrical Engineering, Yanshan University, Qinhuangdao, China

3. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China

Funder

National Natural Science Foundation of China

Science and Technology Development Project of Beijing Municipal Education Commission of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

Reference37 articles.

2. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion;vincent;J Mach Learn Res,2010

5. Visualizing data using t-SNE;van der maaten;J Mach Learn Res,2008

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

5. Global Scanpath Encoder: A Transformer-Based Learning Model to Identify Children with Autism Spectrum Disorder;2024 2nd International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA);2024-05-24