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On Computing Probabilistic Abductive Explanations

On Computing Probabilistic Abductive Explanations

12 December 2022
Yacine Izza
Xuanxiang Huang
Alexey Ignatiev
Nina Narodytska
Martin C. Cooper
Sasha Rubin
    FAtt
    XAI
ArXivPDFHTML

Papers citing "On Computing Probabilistic Abductive Explanations"

7 / 7 papers shown
Title
A Fast Kernel-based Conditional Independence test with Application to Causal Discovery
A Fast Kernel-based Conditional Independence test with Application to Causal Discovery
Oliver Schacht
Biwei Huang
17
0
0
16 May 2025
Locally-Minimal Probabilistic Explanations
Locally-Minimal Probabilistic Explanations
Yacine Izza
Kuldeep S. Meel
Sasha Rubin
21
3
0
19 Dec 2023
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRM
XAI
50
39
0
24 Oct 2022
On Computing Relevant Features for Explaining NBCs
On Computing Relevant Features for Explaining NBCs
Yacine Izza
Sasha Rubin
36
5
0
11 Jul 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
Provably Precise, Succinct and Efficient Explanations for Decision Trees
Provably Precise, Succinct and Efficient Explanations for Decision Trees
Yacine Izza
Alexey Ignatiev
Nina Narodytska
Martin C. Cooper
Sasha Rubin
FAtt
40
7
0
19 May 2022
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
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