Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting. Li, H., Rajbahadur, G. K., Lin, D., Bezemer, C., & Jiang, Z. M. IEEE Access, 12:70676–70689, 2024.
Paper doi bibtex @article{DBLP:journals/access/LiRLBJ24,
author = {Hao Li and
Gopi Krishnan Rajbahadur and
Dayi Lin and
Cor{-}Paul Bezemer and
Zhen Ming Jiang},
title = {Keeping Deep Learning Models in Check: {A} History-Based Approach
to Mitigate Overfitting},
journal = {{IEEE} Access},
volume = {12},
pages = {70676--70689},
year = {2024},
url = {https://doi.org/10.1109/ACCESS.2024.3402543},
doi = {10.1109/ACCESS.2024.3402543},
timestamp = {Sat, 23 Aug 2025 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/access/LiRLBJ24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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