Yan Kong, Bin Xu, Bowen Zhao, Ji Qi. Deep Gaussian Mixture Model on Multiple Interpretable Features of Fetal Heart Rate for Pregnancy Wellness. In Kamal Karlapalem, Hong Cheng 001, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty, editors, Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I. Volume 12712 of Lecture Notes in Computer Science, pages 238-250, Springer, 2021. [doi]
@inproceedings{KongXZQ21,
title = {Deep Gaussian Mixture Model on Multiple Interpretable Features of Fetal Heart Rate for Pregnancy Wellness},
author = {Yan Kong and Bin Xu and Bowen Zhao and Ji Qi},
year = {2021},
doi = {10.1007/978-3-030-75762-5_20},
url = {https://doi.org/10.1007/978-3-030-75762-5_20},
researchr = {https://researchr.org/publication/KongXZQ21},
cites = {0},
citedby = {0},
pages = {238-250},
booktitle = {Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I},
editor = {Kamal Karlapalem and Hong Cheng 001 and Naren Ramakrishnan and R. K. Agrawal and P. Krishna Reddy and Jaideep Srivastava and Tanmoy Chakraborty},
volume = {12712},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-75762-5},
}