"Deep Confidence: A Computationally Efficient Framework for Calculating ..."

Isidro Cortés-Ciriano, Andreas Bender (2019)

> Home

Details and statistics

DOI: 10.1021/ACS.JCIM.8B00542

access: closed

type: Journal Article

metadata version: 2021-08-31

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jcisd/Cortes-CirianoB19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcisd/Cortes-CirianoB19
Isidro Cortés-Ciriano, Andreas Bender:
Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Prediction Errors for Deep Neural Networks. J. Chem. Inf. Model. 59(3): 1269-1281 (2019)

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.