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.
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting [link]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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