ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification

Shuxian Li, Liyan Song, Xiaoyu Wu, Zheng Hu, Yiu-ming Cheung, Xin Yao 0001. ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification. In Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi, editors, Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II. Volume 14170 of Lecture Notes in Computer Science, pages 103-120, Springer, 2023. [doi]

@inproceedings{LiSWHCY23,
  title = {ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification},
  author = {Shuxian Li and Liyan Song and Xiaoyu Wu and Zheng Hu and Yiu-ming Cheung and Xin Yao 0001},
  year = {2023},
  doi = {10.1007/978-3-031-43415-0_7},
  url = {https://doi.org/10.1007/978-3-031-43415-0_7},
  researchr = {https://researchr.org/publication/LiSWHCY23},
  cites = {0},
  citedby = {0},
  pages = {103-120},
  booktitle = {Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II},
  editor = {Danai Koutra and Claudia Plant and Manuel Gomez-Rodriguez and Elena Baralis and Francesco Bonchi},
  volume = {14170},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-43415-0},
}