Lida Zhang, Nathan C. Hurley, Bassem Ibrahim, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak Jack Mortazavi. Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural 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 2020, 7-8 August 2020, Virtual Event, Durham, NC, USA. Volume 126 of Proceedings of Machine Learning Research, pages 97-120, PMLR, 2020. [doi]
@inproceedings{ZhangHISKJM20,
title = {Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks},
author = {Lida Zhang and Nathan C. Hurley and Bassem Ibrahim and Erica S. Spatz and Harlan M. Krumholz and Roozbeh Jafari and Bobak Jack Mortazavi},
year = {2020},
url = {http://proceedings.mlr.press/v126/zhang20a.html},
researchr = {https://researchr.org/publication/ZhangHISKJM20},
cites = {0},
citedby = {0},
pages = {97-120},
booktitle = {Proceedings of the Machine Learning for Healthcare Conference, MLHC 2020, 7-8 August 2020, Virtual Event, Durham, NC, USA},
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 = {126},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}