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A Uniform Language to Explain Decision Trees

A Uniform Language to Explain Decision Trees

18 October 2023
Marcelo Arenas
Pablo Barceló
Diego Bustamante
Jose Caraball
Bernardo Subercaseaux
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Papers citing "A Uniform Language to Explain Decision Trees"

4 / 4 papers shown
Title
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRM
XAI
47
39
0
24 Oct 2022
On Tackling Explanation Redundancy in Decision Trees
On Tackling Explanation Redundancy in Decision Trees
Yacine Izza
Alexey Ignatiev
Sasha Rubin
FAtt
48
58
0
20 May 2022
Model Interpretability through the Lens of Computational Complexity
Model Interpretability through the Lens of Computational Complexity
Pablo Barceló
Mikaël Monet
Jorge A. Pérez
Bernardo Subercaseaux
124
94
0
23 Oct 2020
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,684
0
28 Feb 2017
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