Highly Robust Classification: A Regularized Approach for Omics Data

Jan Kalina, Jaroslav Hlinka. Highly Robust Classification: A Regularized Approach for Omics Data. In James Gilbert, Haim Azhari, Hesham H. Ali, Carla Quintão, Jan Sliwa, Carolina Ruiz, Ana L. N. Fred, Hugo Gamboa, editors, Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - Volume 3: BIOINFORMATICS, Rome, Italy, February 21-23, 2016. pages 17-26, SciTePress, 2016. [doi]

@inproceedings{KalinaH16,
  title = {Highly Robust Classification: A Regularized Approach for Omics Data},
  author = {Jan Kalina and Jaroslav Hlinka},
  year = {2016},
  doi = {10.5220/0005623500170026},
  url = {http://dx.doi.org/10.5220/0005623500170026},
  researchr = {https://researchr.org/publication/KalinaH16},
  cites = {0},
  citedby = {0},
  pages = {17-26},
  booktitle = {Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - Volume 3: BIOINFORMATICS, Rome, Italy, February 21-23, 2016},
  editor = {James Gilbert and Haim Azhari and Hesham H. Ali and Carla Quintão and Jan Sliwa and Carolina Ruiz and Ana L. N. Fred and Hugo Gamboa},
  publisher = {SciTePress},
  isbn = {978-989-758-170-0},
}