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Coupled machine learning and the limits of acceptability approach applied in parameter identification for a distributed hydrological model.
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- Hydrology & Earth System Sciences Discussions, 2019, p. 1, doi. 10.5194/hess-2019-464
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- Article
Neural-network quantum states for ultra-cold Fermi gases.
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- Communications Physics, 2024, v. 7, n. 1, p. 1, doi. 10.1038/s42005-024-01613-w
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- Article
Predicting solid state material platforms for quantum technologies.
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- NPJ Computational Materials, 2022, v. 8, n. 1, p. 1, doi. 10.1038/s41524-022-00888-3
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- Article
Predicting time to graduation at a large enrollment American university.
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- PLoS ONE, 2020, v. 15, n. 11, p. 1, doi. 10.1371/journal.pone.0242334
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Coupled machine learning and the limits of acceptability approach applied in parameter identification for a distributed hydrological model.
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- Hydrology & Earth System Sciences, 2020, v. 24, n. 9, p. 4641, doi. 10.5194/hess-24-4641-2020
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- Article