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Mitigating the impact of mislabeled data on deep predictive models: an empirical study of learning with noise approaches in software engineering tasks

Crossref DOI link: https://doi.org/10.1007/s10515-024-00435-y

Published Online: 2024-04-04

Published Print: 2024-05

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

Authors

Shen, Jian

Li, Zhong

Lu, Yifei

Pan, Minxue

Li, Xuandong
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61972193)

National Natural Science Foundation of China (61972193)

National Natural Science Foundation of China (61972193)

National Natural Science Foundation of China (61972193)

National Natural Science Foundation of China (61972193)
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Text and Data Mining valid from 2024-04-04

Version of Record valid from 2024-04-04
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Article History

Received: 22 October 2023

Accepted: 18 March 2024

First Online: 4 April 2024

Declarations

:

: The authors declare no competing interests.

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