"Torwards Trustworthy Machine Learning based systems: Evaluating breast ..."

Jonathan Ugalde et al. (2023)

> Home

Details and statistics

DOI: 10.1007/978-3-031-36004-6_73

access: closed

type: Conference or Workshop Paper

metadata version: 2023-08-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/hci/UgaldeGMCCFIADF23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/hci/UgaldeGMCCFIADF23
Jonathan Ugalde, Eduardo Godoy, Diego Mellado, Eduardo Cavieres, Bastian Carvajal, Carlos Fernández, Pamela Illescas, Rodrigo H. Avaria, Claudia Díaz, Rodrigo Ferreira, Marvin Querales, Scarlett Lever, Julio Sotelo, Stéren Chabert, Rodrigo Salas:
Torwards Trustworthy Machine Learning based systems: Evaluating breast cancer predictions interpretability using Human Centered Machine Learning and UX Techniques. HCI (47) 2023: 538-545

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.