Straipsniai su viešo pasiekiamumo įpareigojimais - Zhicheng CuiSužinokite daugiau
Kur nors pasiekiama: 10
An End-to-End Deep Learning Architecture for Graph Classification
M Zhang, Z Cui, M Neumann, Y Chen
AAAI, 4438-4445, 2018
Įpareigojimai: US National Institutes of Health
Predicting hospital readmission via cost-sensitive deep learning
H Wang, Z Cui, Y Chen, M Avidan, AB Abdallah, A Kronzer
IEEE/ACM transactions on computational biology and bioinformatics 15 (6 …, 2018
Įpareigojimai: US National Science Foundation
D-vae: A variational autoencoder for directed acyclic graphs
M Zhang, S Jiang, Z Cui, R Garnett, Y Chen
Advances in Neural Information Processing Systems, 2019
Įpareigojimai: US National Science Foundation, US National Institutes of Health
Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space
M Zhang, Z Cui, S Jiang, Y Chen
AAAI, 4430-4437, 2018
Įpareigojimai: US National Institutes of Health
Deep-learning model for predicting 30-day postoperative mortality
BA Fritz*, Z Cui*, M Zhang, Y He, Y Chen, A Kronzer, AB Abdallah, ...
British Journal of Anaesthesia 123 (5), 2019
Įpareigojimai: US National Science Foundation, US National Institutes of Health
Extracting optimal actionable plans from additive tree models
Q Lu, Z Cui, Y Chen, X Chen
Frontiers of Computer Science 11, 160-173, 2017
Įpareigojimai: US National Science Foundation, National Natural Science Foundation of China
Cost-sensitive deep learning for early readmission prediction at a major hospital
H Wang, Z Cui, Y Chen, M Avidan, AB Abdallah, A Kronzer
Canada Proc. BIOKDD 17, 2017
Įpareigojimai: US National Science Foundation
A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room
Z Cui, BA Fritz, CR King, MS Avidan, Y Chen
AMIA Annual Symposium Proceedings, 2019
Įpareigojimai: US National Institutes of Health
Predicting self-intercepted medication ordering errors using machine learning
CR King, J Abraham, BA Fritz, Z Cui, W Galanter, Y Chen, T Kannampallil
PLoS One 16 (7), e0254358, 2021
Įpareigojimai: US National Institutes of Health
Achieving data-driven actionability by combining learning and planning
Q Lv, Y Chen, Z Li, Z Cui, L Chen, X Zhang, H Shen
Frontiers of Computer Science 12, 939-949, 2018
Įpareigojimai: US National Science Foundation, National Natural Science Foundation of China
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