Interpretable Ensemble Machine Learning for Liquefaction Risk Prediction
This paper presents a comprehensive machine learning (ML) framework for predicting liquefaction risk, a crucial aspect of seismic hazard assessment. A benchmark geotechnical dataset with multi-dimensional input features was used to evaluate several ML classifiers, followed by hyperparameter optimiza...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2025-11-01
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| Col·lecció: | Infrastructures |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2412-3811/10/11/304 |
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