Hybrid loss for improving classification performance with unbalanced data

Lodkaew, Thanawat; Pasupa, Kitsuchart

doi:10.1007/978-3-030-63820-7_92

by Thanawat Lodkaew, Kitsuchart Pasupa

Reference:

Thanawat Lodkaew, Kitsuchart Pasupa, "Hybrid loss for improving classification performance with unbalanced data", In Proceedings of the 27th International Conference on Neural Information Processing (ICONIP 2020), 18-22 November 2020, Bangkok, Thailand (Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King, eds.), Springer International Publishing, vol. 1332, pp. 807-814, 2020.

Bibtex Entry:

@InProceedings{LodkaewPasupa2020,
  author    = {Thanawat Lodkaew and Kitsuchart Pasupa},
  booktitle = {Proceedings of the 27th International Conference on Neural Information Processing (ICONIP 2020), 18-22 November 2020, Bangkok, Thailand},
  title     = {Hybrid loss for improving classification performance with unbalanced data},
  year      = {2020},
  editor    = {Haiqin Yang and Kitsuchart Pasupa and Andrew Chi-Sing Leung and James T. Kwok and Jonathan H. Chan and Irwin King},
  pages     = {807--814},
  publisher = {Springer International Publishing},
  series    = {Communications in Computer and Information Science},
  volume    = {1332},
  doi       = {10.1007/978-3-030-63820-7_92},
  isbn      = {9783030638207},
  issn      = {1865-0937},
}