Abstract: Generalized additive models (GAMs) can model the nonlinear relationship between a response variable and a set of explanatory variables through smooth functions. GAM is used to assess the ...

Abstract: Recently, an interactive algorithm was proposed for the construction of generalized additive neural networks. Although the proposed method is sound, it has two drawbacks. It is subjective as ...

School of Science, Technology, Engineering, and Mathematics, University of Washington, Bothell, Washington 98011, United States Department of Atmospheric Sciences, University of Washington, Seattle, ...

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The dataset used for the "Non-Contact Blood Pressure Estimation using infrared motion magnified facial video" publication. The code developed is to fit the data to the reference Blood Pressure values.

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Including pairwise or higher-order interactions among predictors of a Generalized Additive Model (GAM) is gaining increasing attention in the literature. However, existing models face an ...

Deployment of machine learning models in real high-risk settings (e.g., healthcare) often depends not only on model’s accuracy but also on its fairness, robustness and interpretability. Generalized ...