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. 2403.08536
  4. Cited By
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional
  Image Classifiers

HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers

13 March 2024
Francesco Dibitonto
Fabio Garcea
Andre' Panisson
Alan Perotti
Lia Morra
    AAML
ArXivPDFHTML

Papers citing "HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers"

2 / 2 papers shown
Title
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep
  learning representations with expert knowledge graphs: the MonuMAI cultural
  heritage use case
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
Natalia Díaz Rodríguez
Alberto Lamas
Jules Sanchez
Gianni Franchi
Ivan Donadello
S. Tabik
David Filliat
P. Cruz
Rosana Montes
Francisco Herrera
45
77
0
24 Apr 2021
Do semantic parts emerge in Convolutional Neural Networks?
Do semantic parts emerge in Convolutional Neural Networks?
Abel Gonzalez-Garcia
Davide Modolo
V. Ferrari
150
113
0
13 Jul 2016
1