"Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels ..."

Mariachiara Mecati et al. (2022)

> Home

Details and statistics

DOI: 10.1109/BIGDATA55660.2022.10021078

access: closed

type: Conference or Workshop Paper

metadata version: 2023-08-18

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bigdataconf/MecatiAVT22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bigdataconf/MecatiAVT22
Mariachiara Mecati, Andrea Adrignola, Antonio Vetrò, Marco Torchiano:
Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness. IEEE Big Data 2022: 4700-4709

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.