Shapley additive explanations - Open Access .click

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Integration of shapley additive explanations with random forest model for quantitative precipitation estimation of mesoscale convective systems

Frontiers in Environmental Science, 2023
Shaohui Zhou, Yuan-Jian Yang, Li Junsheng +2 more
exaly

Prediction and Interpretation of Low-Level Wind Shear Criticality Based on Its Altitude above Runway Level: Application of Bayesian Optimization–Ensemble Learning Classifiers and SHapley Additive exPlanations

Atmosphere, 2022
Haorong Peng, Pak Wai Chan, Khattak Afaq +2 more
exaly

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
openaire +1 more source

Role of Shapley Additive Explanations and Resampling Algorithms for Contract Failure Prediction of Public–Private Partnership Projects

Journal of Management in Engineering - ASCE, 2023
Kerim Koc
exaly

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
openaire +1 more source

Analysis of ADPCM: A Regression Approach with SHapley Additive exPlanations

2025 IEEE 4th International Conference for Advancement in Technology (ICONAT)
Angelina George, Sai Rishi R, Meena Belwal +2 more
openaire +1 more source

Shapley Additive Explanations (SHAP) for Cardiovascular Diseases Prediction

2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)
Mbabazi Elizabeth Shirley +2 more
openaire +1 more source

Relation between fault characteristic frequencies and local interpretability shapley additive explanations for continuous machine health monitoring

Engineering Applications of Artificial Intelligence
Tangbin Xia, Tongtong Yan, Dong Wang
exaly

Improved prediction of soil shear strength using machine learning algorithms: interpretability analysis using SHapley Additive exPlanations

Frontiers in Earth Science
Mahmood Ahmad +2 more
exaly

Application and analysis of the shapley additive explanations in predicting the rate of penetration

Petroleum Science and Technology
Xueyin Han +5 more
openaire +1 more source

machine learning
fos: computer and information sciences
xgboost

machine learning cs.lg
explainable artificial intelligence
interpretability

explainability
shap
artificial intelligence