"A hybrid framework for improving uncertainty quantification in deep ..."

Dingyan Wang et al. (2021)

> Home

Details and statistics

DOI: 10.1186/S13321-021-00551-X

access: open

type: Journal Article

metadata version: 2024-10-06

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/jcheminf/WangYCLJCZL21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcheminf/WangYCLJCZL21
Dingyan Wang, Jie Yu, Lifan Chen, Xutong Li, Hualiang Jiang, Kaixian Chen, Mingyue Zheng, Xiaomin Luo:
A hybrid framework for improving uncertainty quantification in deep learning-based QSAR regression modeling. J. Cheminformatics 13(1): 69 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.