Learning with a non-exhaustive training dataset: a case study: detection of bacteria cultures using optical-scattering technology

Murat Dundar, E. Daniel Hirleman, Arun K. Bhunia, J. Paul Robinson, Bartek Rajwa. Learning with a non-exhaustive training dataset: a case study: detection of bacteria cultures using optical-scattering technology. In John F. Elder IV, Françoise Fogelman-Soulié, Peter Flach, Mohammed Zaki, editors, Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009. pages 279-288, ACM, 2009. [doi]

@inproceedings{DundarHBRR09,
  title = {Learning with a non-exhaustive training dataset: a case study: detection of bacteria cultures using optical-scattering technology},
  author = {Murat Dundar and E. Daniel Hirleman and Arun K. Bhunia and J. Paul Robinson and Bartek Rajwa},
  year = {2009},
  doi = {10.1145/1557019.1557055},
  url = {http://doi.acm.org/10.1145/1557019.1557055},
  tags = {case study},
  researchr = {https://researchr.org/publication/DundarHBRR09},
  cites = {0},
  citedby = {0},
  pages = {279-288},
  booktitle = {Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009},
  editor = {John F. Elder IV and Françoise Fogelman-Soulié and Peter Flach and Mohammed Zaki},
  publisher = {ACM},
  isbn = {978-1-60558-495-9},
}