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Trepan Reloaded: A Knowledge-driven Approach to Explaining Artificial
  Neural Networks

Trepan Reloaded: A Knowledge-driven Approach to Explaining Artificial Neural Networks

19 June 2019
R. Confalonieri
Tillman Weyde
Tarek R. Besold
Fermín Moscoso del Prado Martín
ArXivPDFHTML

Papers citing "Trepan Reloaded: A Knowledge-driven Approach to Explaining Artificial Neural Networks"

3 / 3 papers shown
Title
Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic
  Patterns
Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns
Ivan Donadello
Chiara Di Francescomarino
F. Maggi
Francesco Ricci
Aladdin Shikhizada
21
11
0
09 Nov 2022
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
320
4,203
0
23 Aug 2019
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
224
201
0
06 Jul 2017
1