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Feature Necessity & Relevancy in ML Classifier Explanations

Feature Necessity & Relevancy in ML Classifier Explanations

27 October 2022
Xuanxiang Huang
Martin C. Cooper
António Morgado
Jordi Planes
Sasha Rubin
    FAtt
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Papers citing "Feature Necessity & Relevancy in ML Classifier Explanations"

18 / 18 papers shown
Title
Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms
Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms
Tomás Capdevielle
Santiago Cifuentes
FAtt
45
0
0
06 May 2025
Shapley Revisited: Tractable Responsibility Measures for Query Answers
Shapley Revisited: Tractable Responsibility Measures for Query Answers
Meghyn Bienvenu
Diego Figueira
Pierre Lafourcade
39
0
0
28 Mar 2025
Hard to Explain: On the Computational Hardness of In-Distribution Model
  Interpretation
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation
Guy Amir
Shahaf Bassan
Guy Katz
44
2
0
07 Aug 2024
Local vs. Global Interpretability: A Computational Complexity
  Perspective
Local vs. Global Interpretability: A Computational Complexity Perspective
Shahaf Bassan
Guy Amir
Guy Katz
43
6
0
05 Jun 2024
Logic-Based Explainability: Past, Present & Future
Logic-Based Explainability: Past, Present & Future
Joao Marques-Silva
28
2
0
04 Jun 2024
Anytime Approximate Formal Feature Attribution
Anytime Approximate Formal Feature Attribution
Jinqiang Yu
Graham Farr
Alexey Ignatiev
Peter J. Stuckey
30
2
0
12 Dec 2023
A Uniform Language to Explain Decision Trees
A Uniform Language to Explain Decision Trees
Marcelo Arenas
Pablo Barceló
Diego Bustamante
Jose Caraball
Bernardo Subercaseaux
16
0
0
18 Oct 2023
Refutation of Shapley Values for XAI -- Additional Evidence
Refutation of Shapley Values for XAI -- Additional Evidence
Xuanxiang Huang
Sasha Rubin
AAML
29
4
0
30 Sep 2023
A Refutation of Shapley Values for Explainability
A Refutation of Shapley Values for Explainability
Xuanxiang Huang
Sasha Rubin
FAtt
18
3
0
06 Sep 2023
Formally Explaining Neural Networks within Reactive Systems
Formally Explaining Neural Networks within Reactive Systems
Shahaf Bassan
Guy Amir
Davide Corsi
Idan Refaeli
Guy Katz
AAML
28
15
0
31 Jul 2023
On Formal Feature Attribution and Its Approximation
On Formal Feature Attribution and Its Approximation
Jinqiang Yu
Alexey Ignatiev
Peter J. Stuckey
30
8
0
07 Jul 2023
On Logic-Based Explainability with Partially Specified Inputs
On Logic-Based Explainability with Partially Specified Inputs
Ramón Béjar
António Morgado
Jordi Planes
Sasha Rubin
32
0
0
27 Jun 2023
From Robustness to Explainability and Back Again
From Robustness to Explainability and Back Again
Xuanxiang Huang
Sasha Rubin
32
10
0
05 Jun 2023
Disproving XAI Myths with Formal Methods -- Initial Results
Disproving XAI Myths with Formal Methods -- Initial Results
Sasha Rubin
35
8
0
13 May 2023
The Inadequacy of Shapley Values for Explainability
The Inadequacy of Shapley Values for Explainability
Xuanxiang Huang
Sasha Rubin
FAtt
31
41
0
16 Feb 2023
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRM
XAI
50
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
126
94
0
23 Oct 2020
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