"Feature perturbation augmentation for reliable evaluation of importance ..."

Lennart Brocki, Neo Christopher Chung (2023)

> Home

Details and statistics

DOI: 10.1016/J.PATREC.2023.10.012

access: open

type: Journal Article

metadata version: 2024-06-08

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/prl/BrockiC23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/prl/BrockiC23
Lennart Brocki, Neo Christopher Chung:
Feature perturbation augmentation for reliable evaluation of importance estimators in neural networks. Pattern Recognit. Lett. 176: 131-139 (2023)

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.