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Shedding Light on Black Box Machine Learning Algorithms: Development of
  an Axiomatic Framework to Assess the Quality of Methods that Explain
  Individual Predictions

Shedding Light on Black Box Machine Learning Algorithms: Development of an Axiomatic Framework to Assess the Quality of Methods that Explain Individual Predictions

15 August 2018
Milo Honegger
ArXivPDFHTML

Papers citing "Shedding Light on Black Box Machine Learning Algorithms: Development of an Axiomatic Framework to Assess the Quality of Methods that Explain Individual Predictions"

3 / 3 papers shown
Title
On the Robustness of Explanations of Deep Neural Network Models: A
  Survey
On the Robustness of Explanations of Deep Neural Network Models: A Survey
Amlan Jyoti
Karthik Balaji Ganesh
Manoj Gayala
Nandita Lakshmi Tunuguntla
Sandesh Kamath
V. Balasubramanian
XAI
FAtt
AAML
37
4
0
09 Nov 2022
Interpretation of Black Box NLP Models: A Survey
Interpretation of Black Box NLP Models: A Survey
Shivani Choudhary
N. Chatterjee
S. K. Saha
FAtt
34
10
0
31 Mar 2022
Evaluating the Correctness of Explainable AI Algorithms for
  Classification
Evaluating the Correctness of Explainable AI Algorithms for Classification
Orcun Yalcin
Xiuyi Fan
Siyuan Liu
XAI
FAtt
21
15
0
20 May 2021
1