Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

  1. Holzinger, A.
  2. Dehmer, M.
  3. Emmert-Streib, F.
  4. Cucchiara, R.
  5. Augenstein, I.
  6. Ser, J.D.
  7. Samek, W.
  8. Jurisica, I.
  9. Díaz-Rodríguez, N.
Revue:
Information Fusion

ISSN: 1566-2535

Année de publication: 2022

Volumen: 79

Pages: 263-278

Type: Article

DOI: 10.1016/J.INFFUS.2021.10.007 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus