ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.10008
  4. Cited By
Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks

Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks

16 May 2024
Michail Mamalakis
Antonios Mamalakis
Ingrid Agartz
L. Morch-Johnsen
Graham K Murray
J. Suckling
Pietro Lio'
ArXivPDFHTML

Papers citing "Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks"

1 / 1 papers shown
Title
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,770
0
18 May 2015
1