"InfoFlowNet: A multi-head attention-based self-supervised learning model ..."

Chun-Hsiang Chuang et al. (2024)

> Home

Details and statistics

DOI: 10.1016/J.ENGAPPAI.2024.109347

access: closed

type: Journal Article

metadata version: 2024-10-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/eaai/ChuangFHD24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/eaai/ChuangFHD24
Chun-Hsiang Chuang, Shao-Xun Fang, Chih-Sheng Huang, Weiping Ding:
InfoFlowNet: A multi-head attention-based self-supervised learning model with surrogate approach for uncovering brain effective connectivity. Eng. Appl. Artif. Intell. 138: 109347 (2024)

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.