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A Review of the Application and Challenges of Shapley Additive Explanations in Data Analysis
Applied and Computational EngineeringThe 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, 2022Edoardo Mosca +3 more
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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 SciencesJongseok 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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