Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification

Pasupa, Kitsuchart; Vatathanavaro, Supawit; Tungjitnob, Suchat

doi:10.1007/s12652-020-01773-x

by Kitsuchart Pasupa, Supawit Vatathanavaro, Suchat Tungjitnob

Reference:

Kitsuchart Pasupa, Supawit Vatathanavaro, Suchat Tungjitnob, "Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification", In Journal of Ambient Intelligence and Humanized Computing, Springer Science and Business Media LLC, 2020. (ISI (2019): Q1 Percentile 83% JIF 4.594, Scopus (2019): Q1 Percentile 78% CiteScore 3.8)

Bibtex Entry:

@Article{PasupaVatathanavaroTungjitnob2020,
  author    = {Kitsuchart Pasupa and Supawit Vatathanavaro and Suchat Tungjitnob},
  journal   = {Journal of Ambient Intelligence and Humanized Computing},
  title     = {Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification},
  year      = {2020},
  issn      = {1868-5145},
  month     = feb,
  comment   = {ISI (2019): Q1 Percentile 83% JIF 4.594, Scopus (2019): Q1 Percentile 78% CiteScore 3.8},
  doi       = {10.1007/s12652-020-01773-x},
  publisher = {Springer Science and Business Media LLC},
  url       = {https://rdcu.be/dIncb},
%  url       = {https://arxiv.org/abs/2001.03329},
}