"Solving the enigma: Enhancing faithfulness and comprehensibility in ..."

Michail Mamalakis et al. (2025)

> Home

Details and statistics

DOI: 10.1016/J.AIOPEN.2025.02.001

access: open

type: Journal Article

metadata version: 2025-05-01

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/aiopen/MamalakisMAMMSL25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/aiopen/MamalakisMAMMSL25
Michail Mamalakis, Antonios Mamalakis, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Graham K. Murray, John Suckling, Pietro Lio:
Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks. AI Open 6: 70-81 (2025)

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.