Conditional Wasserstein generative adversarial network-gradient penalty-based approach to alleviating imbalanced data classification-Reference-Cited by-同舟云学术

Conditional Wasserstein generative adversarial network-gradient penalty-based approach to alleviating imbalanced data classification

Published:2020-02 Issue: Volume:512 Page:1009-1023
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zheng Ming^ORCID,Li Tong,Zhu Rui,Tang Yahui,Tang Mingjing,Lin Leilei,Ma Zifei

Funder

National Natural Science Foundation of China

research and application of big data of intelligent transportation in Yunnan Province

Yunnan Provincial Natural Science Foundation Fundamental Research

Yunnan Provincial Department of Education Science Research Fund

Yunnan University Data-Driven Software Engineering Provincial Science and Technology Innovation

Yunnan University Education Department Science Research Fund

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

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