Constrained Optimization to Improve Critical Rare Classes Performance Within the Top-Ranking Part

Cite

Text

Ying et al. "Constrained Optimization to Improve Critical Rare Classes Performance Within the Top-Ranking Part." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025. doi:10.1007/978-3-032-05962-8_22

Markdown

[Ying et al. "Constrained Optimization to Improve Critical Rare Classes Performance Within the Top-Ranking Part." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025.](https://mlanthology.org/ecmlpkdd/2025/ying2025ecmlpkdd-constrained/) doi:10.1007/978-3-032-05962-8_22

BibTeX

@inproceedings{ying2025ecmlpkdd-constrained,
  title     = {{Constrained Optimization to Improve Critical Rare Classes Performance Within the Top-Ranking Part}},
  author    = {Ying, Yuxin and Zhuang, Fuzhen and Liu, Ziyi and Zhu, Dingyuan and Wang, Daixin and Qin, Xiaobo},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2025},
  pages     = {372-388},
  doi       = {10.1007/978-3-032-05962-8_22},
  url       = {https://mlanthology.org/ecmlpkdd/2025/ying2025ecmlpkdd-constrained/}
}