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Overcoming data scarcity with transfer learning., , , , , and . CoRR, (2017)Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling., , and . CoRR, (2020)Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization., , , , and . CoRR, (2019)Anomaly detection in scientific data using joint statistical moments., , , , , and . J. Comput. Phys., (2019)Generalization of machine-learned turbulent heat flux models applied to film cooling flows., , and . CoRR, (2019)Using feature importance metrics to detect events of interest in scientific computing applications., , , , , , and . LDAV, page 55-63. IEEE Computer Society, (2017)Machine-learned metrics for predicting the likelihood of success in materials discovery., , , , and . CoRR, (2019)Machine learning strategies for systems with invariance properties., , and . J. Comput. Phys., (2016)Building Data-driven Models with Microstructural Images: Generalization and Interpretability., , , , , and . CoRR, (2017)Using Machine Learning to Understand and Mitigate Model Form Uncertainty in Turbulence Models.. ICMLA, page 813-818. IEEE, (2015)