Robustness of learning techniques in handling class noise in imbalanced datasets

D. Anyfantis, M. Karagiannopoulos, Sotiris B. Kotsiantis, Panayiotis E. Pintelas. Robustness of learning techniques in handling class noise in imbalanced datasets. In Christos Boukis, Aristodemos Pnevmatikakis, Lazaros Polymenakos, editors, Artificial Intelligence and Innovations 2007: from Theory to Applications, Proceedings of the 4th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2007), 19-21 September 2007, Peania, Athens, Greece. Volume 247 of IFIP, pages 21-28, Springer, 2007. [doi]

@inproceedings{AnyfantisKKP07,
  title = {Robustness of learning techniques in handling class noise in imbalanced datasets},
  author = {D. Anyfantis and M. Karagiannopoulos and Sotiris B. Kotsiantis and Panayiotis E. Pintelas},
  year = {2007},
  doi = {10.1007/978-0-387-74161-1_3},
  url = {http://dx.doi.org/10.1007/978-0-387-74161-1_3},
  tags = {e-science},
  researchr = {https://researchr.org/publication/AnyfantisKKP07},
  cites = {0},
  citedby = {0},
  pages = {21-28},
  booktitle = {Artificial Intelligence and Innovations 2007: from Theory to Applications, Proceedings of the 4th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2007), 19-21 September 2007, Peania, Athens, Greece},
  editor = {Christos Boukis and Aristodemos Pnevmatikakis and Lazaros Polymenakos},
  volume = {247},
  series = {IFIP},
  publisher = {Springer},
  isbn = {978-0-387-74160-4},
}