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Towards Interpretable ANNs: An Exact Transformation to Multi-Class
  Multivariate Decision Trees

Towards Interpretable ANNs: An Exact Transformation to Multi-Class Multivariate Decision Trees

10 March 2020
Duy T. Nguyen
Kathryn E. Kasmarik
H. Abbass
ArXivPDFHTML

Papers citing "Towards Interpretable ANNs: An Exact Transformation to Multi-Class Multivariate Decision Trees"

5 / 5 papers shown
Title
How should AI decisions be explained? Requirements for Explanations from
  the Perspective of European Law
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
Benjamin Frész
Elena Dubovitskaya
Danilo Brajovic
Marco F. Huber
Christian Horz
62
7
0
19 Apr 2024
LEURN: Learning Explainable Univariate Rules with Neural Networks
LEURN: Learning Explainable Univariate Rules with Neural Networks
Çağlar Aytekin
FAtt
34
0
0
27 Mar 2023
Neural Networks are Decision Trees
Neural Networks are Decision Trees
Çağlar Aytekin
FAtt
37
24
0
11 Oct 2022
A Survey of Neural Trees
A Survey of Neural Trees
Haoling Li
Mingli Song
Mengqi Xue
Haofei Zhang
Jingwen Ye
Lechao Cheng
Mingli Song
AI4CE
25
6
0
07 Sep 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
259
3,698
0
28 Feb 2017
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