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Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models
Research article (SIMULATION, 2020) · cited 16× · AI/ML
Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models
Summary
Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models is a scholarly article[1].
Key Facts
Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models's instance of is recorded as scholarly article[2].
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APA4ort.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}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models — https://4ort.xyz/entity/nested-active-learning-for-efficient-model-contextualization-and-parameterization-pathway-to-generating-simulated-popula (retrieved 2026-05-24)