UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction.

Qingxiong Tan|Andy Jinhua Ma|Mang Ye|Baoyao Yang|Huiqi Deng|Vincent Wai-Sun Wong|Yee-Kit Tse|Terry Cheuk-Fung Yip|Grace Lai-Hung Wong|Jessica Yuet-Ling Ching|Francis Ka-Leung Chan|Pong C. Yuen


Anthology ID:DBLP:conf/cikm/TanMYYDWTYWCCY19
Volume:Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
Year:2019
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:109-118
URL:https://doi.org/10.1145/3357384.3357884
DOI:https://doi.org/10.1145/3357384.3357884
DBLP:conf/cikm/TanMYYDWTYWCCY19
BibTeX:
@inproceedings{tan-2019-uacrnn, author = {Qingxiong Tan and Andy Jinhua Ma and Mang Ye and Baoyao Yang and Huiqi Deng and Vincent Wai-Sun Wong and Yee-Kit Tse and Terry Cheuk-Fung Yip and Grace Lai-Hung Wong and Jessica Yuet-Ling Ching and Francis Ka-Leung Chan and Pong C. Yuen}, editor = {Wenwu Zhu and Dacheng Tao and Xueqi Cheng and Peng Cui and Elke A. Rundensteiner and David Carmel and Qi He and Jeffrey Xu Yu}, title = {{UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction}}, booktitle = {{Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019}}, pages = {109--118}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3357384.3357884}, doi = {https://doi.org/10.1145/3357384.3357884} }