A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning-Reference-Cited by-同舟云学术

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A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning

Published:2023-12 Issue: Volume:325 Page:104014
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Pelegrina Guilherme Dean^ORCID,Duarte Leonardo Tomazeli,Grabisch Michel

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference41 articles.

1. Explaining individual predictions when features are dependent: more accurate approximations to Shapley values;Aas;Artif. Intell.,2021

2. Machine learning-based heart disease diagnosis: a systematic literature review;Ahsan;Artif. Intell. Med.,2022

3. The impact of machine learning on patient care: a systematic review;Ben-Israel;Artif. Intell. Med.,2020

4. A comparative analysis of gradient boosting algorithms;Bentéjac;Artif. Intell. Rev.,2021

5. A random forest guided tour;Biau;Test,2016

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3. Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients;Journal of Ultrasound in Medicine;2024-07-25

4. Efficient identification technique for 2-additive fuzzy measures with consideration of objective relationships among features;International Journal of Machine Learning and Cybernetics;2024-06-16

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