Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies

Rashika Ramola, Shantanu Jain, Predrag Radivojac. Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies. In Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Teri E. Klein, editors, Biocomputing 2019: Proceedings of the Pacific Symposium, The Big Island of Hawaii, Hawaii, USA, January 3-7, 2019. pages 124-135, 2019. [doi]

@inproceedings{RamolaJR19,
  title = {Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies},
  author = {Rashika Ramola and Shantanu Jain and Predrag Radivojac},
  year = {2019},
  url = {http://psb.stanford.edu/psb-online/proceedings/psb19/ramola.pdf},
  researchr = {https://researchr.org/publication/RamolaJR19},
  cites = {0},
  citedby = {0},
  pages = {124-135},
  booktitle = {Biocomputing 2019: Proceedings of the Pacific Symposium, The Big Island of Hawaii, Hawaii, USA, January 3-7, 2019},
  editor = {Russ B. Altman and A. Keith Dunker and Lawrence Hunter and Marylyn D. Ritchie and Teri E. Klein},
}