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Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection

Crossref DOI link: https://doi.org/10.1007/s40747-024-01704-9

Published Online: 2025-01-07

Published Print: 2025-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wu, Yinting

Peng, Pai

Cai, Bo

Li, Le https://orcid.org/0000-0002-9191-9367
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (62107021, 61971316)

Fundamental Research Funds for the Central Universities (CCNU22JC027)

Wuhan Science and Technology Project (2022010801010273)
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Text and Data Mining valid from 2025-01-07

Version of Record valid from 2025-01-07
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Article History

Received: 18 July 2024

Accepted: 1 December 2024

First Online: 7 January 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

: Ethics Committee approval was obtained from the Institutional Ethics Committee of Central China Normal University to the commencement of the study. Moreover, the authors declare that the manuscript is not submitted to more than one journal for simultaneous consideration; The submitted work is original and was not published elsewhere in any form or language (partially or in full); A single study is not be split up into several parts to increase the quantity of submissions and submitted to various journals or to one journal over time; Results are presented clearly, honestly, and without fabrication, falsification or inappropriate data manipulation; No data, text, or theories by others are presented as if they were the author’s own and proper acknowledgements to other works are given.

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