Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models

Research article (Medical Image Analysis, 2020) · cited 24× · AI/ML
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Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models

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Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models. Retrieved May 24, 2026, from https://4ort.xyz/entity/embedding-high-dimensional-bayesian-optimization-via-generative-modeling-parameter-personalization-of-cardiac-electrophy
MLA “Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/embedding-high-dimensional-bayesian-optimization-via-generative-modeling-parameter-personalization-of-cardiac-electrophy.
BibTeX @misc{4ortxyz_embedding-high-dimensional-bayesian-optimization-via-generative-modeling-parameter-personalization-of-cardiac-electrophy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models}}, year = {2026}, url = {https://4ort.xyz/entity/embedding-high-dimensional-bayesian-optimization-via-generative-modeling-parameter-personalization-of-cardiac-electrophy}, note = {Accessed: 2026-05-24}}
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