Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study of Cancer-Staging Data in Biology-Reference-Cited by-同舟云学术

Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study of Cancer-Staging Data in Biology

Published:2019-02 Issue:1 Volume:5 Page:156-163
ISSN:2095-8099
Container-title:Engineering
language:en
Short-container-title:Engineering

Author:

Liu Yufei^ORCID,Zhou Yuan,Liu Xin,Dong Fang,Wang Chang,Wang Zihong

Funder

National Natural Science Foundation of China

MOE

Chinese Academy of Engineering’s China Knowledge Center for Engineering Sciences and Technology Project

Publisher

Elsevier BV

Subject

General Engineering,Energy Engineering and Power Technology,Materials Science (miscellaneous),General Chemical Engineering,Environmental Engineering,General Computer Science

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4. State Council Information Office of the People’s Republic of China. The policy interpretation of Development Planning for a Next-Generation Artificial Intelligence [Internet]. Beijing: www.scio.gov.cn. [cited 2018 Mar 5]. Available from: http://www.scio.gov.cn/34473/34515/Document/1559231/1559231.htm. Chinese.

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