Feature Necessity & Relevancy in ML Classifier Explanations

Feature Necessity & Relevancy in ML Classifier Explanations

27 October 2022

Xuanxiang Huang

Martin C. Cooper

António Morgado

João Marques-Silva

Papers citing "Feature Necessity & Relevancy in ML Classifier Explanations"

17 / 17 papers shown

Title
Shapley Revisited: Tractable Responsibility Measures for Query Answers Meghyn Bienvenu Diego Figueira Pierre Lafourcade 34 0 0 28 Mar 2025
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation Guy Amir Shahaf Bassan Guy Katz 42 2 0 07 Aug 2024
Local vs. Global Interpretability: A Computational Complexity Perspective Shahaf Bassan Guy Amir Guy Katz 35 6 0 05 Jun 2024
Logic-Based Explainability: Past, Present & Future Joao Marques-Silva 22 2 0 04 Jun 2024
Anytime Approximate Formal Feature Attribution Jinqiang Yu Graham Farr Alexey Ignatiev Peter James Stuckey 13 1 0 12 Dec 2023
A Uniform Language to Explain Decision Trees Marcelo Arenas Pablo Barceló Diego Bustamante Jose Caraball Bernardo Subercaseaux 11 0 0 18 Oct 2023
Refutation of Shapley Values for XAI -- Additional Evidence Xuanxiang Huang João Marques-Silva AAML 11 4 0 30 Sep 2023
A Refutation of Shapley Values for Explainability Xuanxiang Huang João Marques-Silva FAtt 11 3 0 06 Sep 2023
Formally Explaining Neural Networks within Reactive Systems Shahaf Bassan Guy Amir Davide Corsi Idan Refaeli Guy Katz AAML 17 15 0 31 Jul 2023
On Formal Feature Attribution and Its Approximation Jinqiang Yu Alexey Ignatiev Peter James Stuckey 13 7 0 07 Jul 2023
On Logic-Based Explainability with Partially Specified Inputs Ramón Béjar António Morgado Jordi Planes João Marques-Silva 26 0 0 27 Jun 2023
From Robustness to Explainability and Back Again Xuanxiang Huang João Marques-Silva 20 10 0 05 Jun 2023
Disproving XAI Myths with Formal Methods -- Initial Results João Marques-Silva 27 8 0 13 May 2023
The Inadequacy of Shapley Values for Explainability Xuanxiang Huang João Marques-Silva FAtt 21 40 0 16 Feb 2023
Logic-Based Explainability in Machine Learning João Marques-Silva LRM XAI 31 39 0 24 Oct 2022
On Tackling Explanation Redundancy in Decision Trees Yacine Izza Alexey Ignatiev João Marques-Silva FAtt 48 56 0 20 May 2022
Model Interpretability through the Lens of Computational Complexity Pablo Barceló Mikaël Monet Jorge A. Pérez Bernardo Subercaseaux 114 93 0 23 Oct 2020