Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models

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Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models

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Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models. Retrieved May 24, 2026, from https://4ort.xyz/entity/nested-active-learning-for-efficient-model-contextualization-and-parameterization-pathway-to-generating-simulated-popula
MLA “Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/nested-active-learning-for-efficient-model-contextualization-and-parameterization-pathway-to-generating-simulated-popula.
BibTeX @misc{4ortxyz_nested-active-learning-for-efficient-model-contextualization-and-parameterization-pathway-to-generating-simulated-popula_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models}}, year = {2026}, url = {https://4ort.xyz/entity/nested-active-learning-for-efficient-model-contextualization-and-parameterization-pathway-to-generating-simulated-popula}, note = {Accessed: 2026-05-24}}
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