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A Review of the Application and Challenges of Shapley Additive Explanations in Data Analysis

Applied and Computational Engineering
The rapid growth of big data and complex machine learning models—gradient-boosted trees and deep neural networks—has produced highly accurate but opaque"black-box"predictors across medicine, finance, and industry, making interpretability a central concern in data analysis.
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Detecting Word-Level Adversarial Text Attacks via SHapley Additive exPlanations

Proceedings of the 7th Workshop on Representation Learning for NLP, 2022
Edoardo Mosca   +3 more
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Shapley additive explanations for NO forecasting

Ecological Informatics, 2020
José L Aznarte
exaly  

Analysis of ADPCM: A Regression Approach with SHapley Additive exPlanations

2025 IEEE 4th International Conference for Advancement in Technology (ICONAT)
Angelina George   +2 more
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Analysis on Underwater Channel by Using Shapley Additive Explanations

The Journal of Korean Institute of Communications and Information Sciences
Jongseok Kim, Ho-Shin Cho, Ohyun Jo
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Shapley Additive Explanations (SHAP) for Cardiovascular Diseases Prediction

2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)
Mbabazi Elizabeth Shirley   +2 more
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