"MNIST-NET10: A heterogeneous deep networks fusion based on the degree of ..."

Siham Tabik et al. (2020)

> Home

Details and statistics

DOI: 10.1016/J.INFFUS.2020.04.002

access: closed

type: Journal Article

metadata version: 2022-04-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/inffus/TabikARSFH20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/inffus/TabikARSFH20
Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera:
MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal. Inf. Fusion 62: 73-80 (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.