GANs for Class-Imbalanced Data: A Meta-Analysis of GitHub Projects

Rick Sauber-Cole, Taghi M. Khoshgoftaar, Justin M. Johnson. GANs for Class-Imbalanced Data: A Meta-Analysis of GitHub Projects. In Marek Z. Reformat, Du Zhang, Nikolaos G. Bourbakis, editors, 34th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2022, Macao, China, October 31 - November 2, 2022. pages 1419-1424, IEEE, 2022. [doi]

@inproceedings{SauberColeKJ22,
  title = {GANs for Class-Imbalanced Data: A Meta-Analysis of GitHub Projects},
  author = {Rick Sauber-Cole and Taghi M. Khoshgoftaar and Justin M. Johnson},
  year = {2022},
  doi = {10.1109/ICTAI56018.2022.00214},
  url = {https://doi.org/10.1109/ICTAI56018.2022.00214},
  researchr = {https://researchr.org/publication/SauberColeKJ22},
  cites = {0},
  citedby = {0},
  pages = {1419-1424},
  booktitle = {34th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2022, Macao, China, October 31 - November 2, 2022},
  editor = {Marek Z. Reformat and Du Zhang and Nikolaos G. Bourbakis},
  publisher = {IEEE},
  isbn = {979-8-3503-9744-4},
}