SGAIN, WSGAIN-CP and WSGAIN-GP: Novel GAN Methods for Missing Data Imputation

Diogo Telmo Neves, Marcel Ganesh Naik, Alberto Proença. SGAIN, WSGAIN-CP and WSGAIN-GP: Novel GAN Methods for Missing Data Imputation. In Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot, editors, Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part I. Volume 12742 of Lecture Notes in Computer Science, pages 98-113, Springer, 2021. [doi]

@inproceedings{NevesNP21,
  title = {SGAIN, WSGAIN-CP and WSGAIN-GP: Novel GAN Methods for Missing Data Imputation},
  author = {Diogo Telmo Neves and Marcel Ganesh Naik and Alberto Proença},
  year = {2021},
  doi = {10.1007/978-3-030-77961-0_10},
  url = {https://doi.org/10.1007/978-3-030-77961-0_10},
  researchr = {https://researchr.org/publication/NevesNP21},
  cites = {0},
  citedby = {0},
  pages = {98-113},
  booktitle = {Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part I},
  editor = {Maciej Paszynski and Dieter Kranzlmüller and Valeria V. Krzhizhanovskaya and Jack J. Dongarra and Peter M. A. Sloot},
  volume = {12742},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-77961-0},
}