RSD-Reference-Cited by-同舟云学术

RSD

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
language:
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Author:

Ren Houxing¹,Wang Jingyuan²,Zhao Wayne Xin³

Affiliation:

1. School of Computer Science and Engineering, Beihang University, Beijing, China

2. School of Computer Science and Engineering, Beihang University & Peng Cheng Laboratory, Beijing, China

3. Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China

Funder

the Fundamental Research Funds for the Central Universities

the National Natural Science Foundation of China

the National Key R&D Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557440

Reference50 articles.

1. Tian Bai Shanshan Zhang Brian L. Egleston and Slobodan Vucetic. 2018. Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time. In KDD. ACM 43--51. Tian Bai Shanshan Zhang Brian L. Egleston and Slobodan Vucetic. 2018. Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time. In KDD. ACM 43--51.

2. Inci M. Baytas Cao Xiao Xi Zhang Fei Wang Anil K. Jain and Jiayu Zhou. 2017. Patient Subtyping via Time-Aware LS Networks. In KDD. ACM 65--74. Inci M. Baytas Cao Xiao Xi Zhang Fei Wang Anil K. Jain and Jiayu Zhou. 2017. Patient Subtyping via Time-Aware LS Networks. In KDD. ACM 65--74.

3. Mining Health Examination Records—A Graph-Based Approach

4. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey E. Hinton . 2020. A Simple Framework for Contrastive Learning of Visual Representations . In Proceedings of the 37th International Conference on Machine Learning, ICML 2020 , 13-18 July 2020 , Virtual Event (Proceedings of Machine Learning Research , Vol. 119). PMLR, 1597-- 1607 . http://proceedings.mlr.press/v119/chen20j.html Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event (Proceedings of Machine Learning Research, Vol. 119). PMLR, 1597--1607. http://proceedings.mlr.press/v119/chen20j.html

5. Yu Cheng , Fei Wang , Ping Zhang , and Jianying Hu. 2016. Risk Prediction with Electronic Health Records: A Deep Learning Approach . In SDM. SIAM , 432--440. Yu Cheng, Fei Wang, Ping Zhang, and Jianying Hu. 2016. Risk Prediction with Electronic Health Records: A Deep Learning Approach. In SDM. SIAM, 432--440.

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