Results 281 to 290 of about 25,341,143 (317)

Predicting and explaining severity of road accident using artificial intelligence techniques, SHAP and feature analysis

International Journal of Crashworthiness, 2023
Alok Kumar Mishra, Aruna Kumar Dash
exaly  

Interpretability analysis for thermal sensation machine learning models: An exploration based on the SHAP approach

Indoor Air, 2022
Yuren Yang, Ye Yuan, Zhen Han
exaly  

SHAP-Driven Feature Analysis Approach for Epileptic Seizure Prediction

Journal of Medical Systems
Mohsin Hasan, Wenjuan Wu, Xufeng Zhao
openaire   +1 more source

SHAP Model Explainability in ECMO – PAL mortality prediction: A Critical Analysis. Author’s reply

Intensive Care Medicine, 2023
Andrew F. Stephens, Michael Šeman, Carol L. Hodgson, Shaun D. Gregory   +3 more
openaire   +3 more sources

Investigating two-wheelers risk factors for severe crashes using an interpretable machine learning approach and SHAP analysis

IATSS Research, 2023
Mohammad Tamim Kashifi
exaly  

Designing dynamic groundwater management strategies through a composite groundwater vulnerability model: Integrating human-related parameters into the DRASTIC model using LightGBM regression and SHAP analysis

Environmental Research, 2023
Xiaofan Gui
exaly  

Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach

Engineering Structures, 2020
Sujith Mangalathu, Seong-Hoon Hwang, Jong-Su Jeon   +2 more
exaly  

Decoding electric vehicle adoption using XGBoost and SHAP analysis

Travel Behaviour and Society
Peng Chen, Xiankui Yang, Feng Hao, Ran Tao   +3 more
openaire   +1 more source

Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete

AI in Civil Engineering
Samuel Olaoluwa Abioye, Yusuf Babatunde, Oluwafikejimi Abigail Abikoye, A. N. Shaibu, Bailey Jonathan Bankole   +4 more
semanticscholar   +1 more source

Explainable deep learning techniques for wind speed forecasting in coastal areas: Integrating model configuration, regularization, early stopping, and SHAP analysis

Neural computing & applications (Print)
Ahmet Durap
semanticscholar   +1 more source