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simulation algorithm » segmentation algorithm (Expand Search), maximization algorithm (Expand Search), selection algorithm (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
access simulation » process simulation (Expand Search), adams simulation (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data access » data across (Expand Search), water access (Expand Search)
binary ai » binary _ (Expand Search), binary pairs (Expand Search)
ai driven » _ driven (Expand Search), a driver (Expand Search)
simulation algorithm » segmentation algorithm (Expand Search), maximization algorithm (Expand Search), selection algorithm (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
access simulation » process simulation (Expand Search), adams simulation (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data access » data across (Expand Search), water access (Expand Search)
binary ai » binary _ (Expand Search), binary pairs (Expand Search)
ai driven » _ driven (Expand Search), a driver (Expand Search)
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Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png
Published 2025“…</p>Methods<p>To address these challenges, we propose a novel AI-driven framework that incorporates two key methodological innovations: CardioSpectra, a structured sparse inference model, and Risk-Stratified Exertional Embedding (RSEE), a domain-specific representation learning strategy. …”
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Ultimate Pólya Gamma Samplers–Efficient MCMC for Possibly Imbalanced Binary and Categorical Data
Published 2023“…To contribute to the accessibility of Bayesian models for binary and categorical data, we introduce novel latent variable representations based on Pólya-Gamma random variables for a range of commonly encountered logistic regression models. …”
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