SSGL1/2: An Improved SVM with Smooth GroupL1/2 for Predicting AD-Reference-Cited by-同舟云学术

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SSGL1/2: An Improved SVM with Smooth GroupL1/2 for Predicting AD

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Wang Jinfeng¹,Hang Shuaihui¹,Liang Yong²,Qin Jing³,Wang Wenzhong⁴

Affiliation:

1. South China Agricultural University,College of Mathematics and Informatics,Guangzhou,China

2. Peng Cheng Laboratory,Shenzhen,China

3. The Hong Kong Polytechnic University,College of Nursery,Hongkong,China

4. South China Agricultural University,College of Economics and Management,Guangzhou,China

Funder

Science and Technology Planning Project of Guangdong Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995455.pdf?arnumber=9995455

Reference48 articles.

1. Pathways towards and away from Alzheimer's disease

2. Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG

3. The clinical use of structural MRI in Alzheimer disease

4. Detecting Alzheimer's disease Based on 4D fMRI: An exploration under deep learning framework

5. Hippocampal formation glucose metabolism and volume losses in MCI and AD

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