"Analysis on the potential of an EA-surrogate modelling tandem for deep ..."

Ruxandra Stoean (2020)

> Home

Details and statistics

DOI: 10.1007/S00521-018-3709-5

access: closed

type: Journal Article

metadata version: 2020-09-10

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/nca/Stoean20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nca/Stoean20
Ruxandra Stoean:
Analysis on the potential of an EA-surrogate modelling tandem for deep learning parametrization: an example for cancer classification from medical images. Neural Comput. Appl. 32(2): 313-322 (2020)

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.