ShapG: new feature importance method based on the Shapley value

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ShapG: new feature importance method based on the Shapley value

29 June 2024

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Papers citing "ShapG: new feature importance method based on the Shapley value"

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Title
RanDeS: Randomized Delta Superposition for Multi-Model Compression Hangyu Zhou Aaron Gokaslan Volodymyr Kuleshov Bharath Hariharan MoMe 86 0 0 16 May 2025
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 114 138 0 21 Dec 2021
Expanding Explainability: Towards Social Transparency in AI systems Upol Ehsan Q. V. Liao Michael J. Muller Mark O. Riedl Justin D. Weisz 91 411 0 12 Jan 2021
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 319 6,390 0 22 Oct 2019
Towards a Rigorous Evaluation of XAI Methods on Time Series U. Schlegel Hiba Arnout Mennatallah El-Assady Daniela Oelke Daniel A. Keim XAI AI4TS 124 174 0 16 Sep 2019
Global Explanations of Neural Networks: Mapping the Landscape of Predictions Mark Ibrahim Melissa Louie C. Modarres John Paisley FAtt 97 119 0 06 Feb 2019
Model Agnostic Supervised Local Explanations Gregory Plumb Denali Molitor Ameet Talwalkar FAtt LRM MILM 177 200 0 09 Jul 2018
Game-theoretic Network Centrality: A Review M. Tarkowski Tomasz P. Michalak Talal Rahwan Michael Wooldridge GNN 64 18 0 31 Dec 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.4K 22,397 0 22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.3K 17,241 0 16 Feb 2016
Understanding Random Forests: From Theory to Practice Gilles Louppe 161 750 0 28 Jul 2014