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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

24 April 2021
Natalia Díaz Rodríguez
Alberto Lamas
Jules Sanchez
Gianni Franchi
Ivan Donadello
S. Tabik
David Filliat
P. Cruz
Rosana Montes
Francisco Herrera
ArXivPDFHTML

Papers citing "EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case"

3 / 3 papers shown
Title
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron
  Activation Analysis
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis
Abhilekha Dalal
R. Rayan
Adrita Barua
Eugene Y. Vasserman
Md Kamruzzaman Sarker
Pascal Hitzler
16
4
0
21 Apr 2024
A Critical Review of Inductive Logic Programming Techniques for
  Explainable AI
A Critical Review of Inductive Logic Programming Techniques for Explainable AI
Zheng Zhang
Liangliang Xu
L. Yilmaz
Bo Liu
8
7
0
31 Dec 2021
Logic Tensor Networks for Semantic Image Interpretation
Logic Tensor Networks for Semantic Image Interpretation
Ivan Donadello
Luciano Serafini
Artur Garcez
48
208
0
24 May 2017
1