Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks

Jeeheh Oh, Jiaxuan Wang, Jenna Wiens. Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks. In Finale Doshi-Velez, Jim Fackler, Ken Jung, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens, editors, Proceedings of the Machine Learning for Healthcare Conference, MLHC 2018, 17-18 August 2018, Palo Alto, California. Volume 85 of Proceedings of Machine Learning Research, pages 332-347, PMLR, 2018. [doi]

@inproceedings{OhWW18,
  title = {Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks},
  author = {Jeeheh Oh and Jiaxuan Wang and Jenna Wiens},
  year = {2018},
  url = {http://proceedings.mlr.press/v85/oh18a.html},
  researchr = {https://researchr.org/publication/OhWW18},
  cites = {0},
  citedby = {0},
  pages = {332-347},
  booktitle = {Proceedings of the Machine Learning for Healthcare Conference, MLHC 2018, 17-18 August 2018, Palo Alto, California},
  editor = {Finale Doshi-Velez and Jim Fackler and Ken Jung and David C. Kale and Rajesh Ranganath and Byron C. Wallace and Jenna Wiens},
  volume = {85},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}