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Empirical Inference Conference Paper 2023

On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series

Author(s): Kuznetsova*, R. and Pace*, A. and Burger*, M. and Yèche, H. and Rätsch, G.
Book Title: Proceedings of the 3rd Machine Learning for Health Symposium (ML4H)
Volume: 225
Pages: 268--291
Year: 2023
Month: December
Series: Proceedings of Machine Learning Research
Editors: Hegselmann, S.and Parziale, A. and Shanmugam, D. and Tang, S. and Asiedu, M. N. and Chang, S. and Hartvigsen, T. and Singh, H.
Publisher: PMLR
Bibtex Type: Conference Paper (conference)
Event Place: New Orleans, Louisiana, USA
State: Published
URL: https://proceedings.mlr.press/v225/kuznetsova23a.html
Electronic Archiving: grant_archive
Note: *equal contribution

BibTex 

@conference{Kuznetsovaetal23,
  title = {On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series},
  booktitle = {Proceedings of the 3rd Machine Learning for Health Symposium (ML4H) },
  volume = {225},
  pages = {268--291},
  series = {Proceedings of Machine Learning Research},
  editors = {Hegselmann, S.and Parziale, A. and Shanmugam, D. and Tang, S. and Asiedu, M. N. and Chang, S. and Hartvigsen, T. and Singh, H.},
  publisher = {PMLR},
  month = dec,
  year = {2023},
  note = {*equal contribution},
  slug = {kuznetsovaetal23},
  author = {Kuznetsova*, R. and Pace*, A. and Burger*, M. and Yèche, H. and R{\"a}tsch, G.},
  url = {https://proceedings.mlr.press/v225/kuznetsova23a.html},
  month_numeric = {12}
}