A Multi-classification Accessment Framework for Reproducible Evaluation of Multimodal Learning in Alzheimer's Disease-Reference-Cited by-同舟云学术

A Multi-classification Accessment Framework for Reproducible Evaluation of Multimodal Learning in Alzheimer's Disease

Published:2022 Issue: Volume: Page:1-14
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Nan Fengtao¹,Li Shunbao²,Wang Jiayu³,Tang Yahui⁴,Qi Jun⁵,Zhou Menghui⁶^ORCID,Zhao Zhong⁷,Yang Yun³,Yang Po²^ORCID

Affiliation:

1. School of Information, Yunnan University, Kunming, China

2. Department of Computer Science, University of Sheffield, Sheffield, U.K.

3. National Pilot School of Software, Yunnan University, Kunming, China

4. School of Information, Yunnan University, Kunmming, China

5. Department of Computing, Xi'an JiaoTong-Liverpool University, Suzhou, China

6. Xi'an Jiaotong-Liverpool University, Suzhou, China

7. Department of Neurology, the First People's Hospital of Yunnan Province., Kunming, China

Funder

Yunnan provincial major science and technology special plan projects: digitization research and application demonstration of Yunnan characteristic industry

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/09878183.pdf?arnumber=9878183

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