SNEOM: A Sanger Network Based Extended Over-Sampling Method. Application to Imbalanced Biomedical Datasets

José Manuel Martínez-García, Carmen Paz Suárez Araujo, Patricio García Báez. SNEOM: A Sanger Network Based Extended Over-Sampling Method. Application to Imbalanced Biomedical Datasets. In Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi-Sing Leung, editors, Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part IV. Volume 7666 of Lecture Notes in Computer Science, pages 584-592, Springer, 2012. [doi]

@inproceedings{Martinez-GarciaAB12,
  title = {SNEOM: A Sanger Network Based Extended Over-Sampling Method. Application to Imbalanced Biomedical Datasets},
  author = {José Manuel Martínez-García and Carmen Paz Suárez Araujo and Patricio García Báez},
  year = {2012},
  doi = {10.1007/978-3-642-34478-7_71},
  url = {http://dx.doi.org/10.1007/978-3-642-34478-7_71},
  researchr = {https://researchr.org/publication/Martinez-GarciaAB12},
  cites = {0},
  citedby = {0},
  pages = {584-592},
  booktitle = {Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part IV},
  editor = {Tingwen Huang and Zhigang Zeng and Chuandong Li and Chi-Sing Leung},
  volume = {7666},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-34477-0},
}