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Assessment of ground motion amplitude scaling using interpretable Gaussian process regression: Application to steel moment frames
ArticleAbstract: The process of ground motion selection and scaling is an integral part of hazard- and risk-consistenPalabras claves:amplitude scaling, Bayesian non-parametric, Explainability, Gaussian process regression, ground motion scaling, interpretability, Machine Learning, scale factors, surrogate models, XAIAutores:Fayaz J., Medalla M., Naeim F., Pablo Torres-RodasFuentes:googlescopusA machine learning-based ground motion model for the Chilean subduction zone and its application to probabilistic seismic hazard analysis
ArticleAbstract: Accurate prediction of ground motion intensity measures (IMs) is critical for seismic hazard assessmPalabras claves:Ground Motion Model, Intensity measures, Machine Learning, Seismic hazard analysis, SubductionAutores:B. Cagua, Fabián Pachano, Matías Birrell, Medalla M., Rodrigo AstrozaFuentes:scopus