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Material Type: Artigo
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Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow ProblemsTartakovsky, A. M. ; Marrero, C. Ortiz ; Perdikaris, Paris ; Tartakovsky, G. D. ; Barajas‐Solano, D.Water resources research, 2020-05, Vol.56 (5), p.n/a [Periódico revisado por pares]Washington: Blackwell Publishing LtdTexto completo disponível |
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Material Type: Artigo
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Deep learning: new computational modelling techniques for genomicsEraslan, Gökcen ; Avsec, Žiga ; Gagneur, Julien ; Theis, Fabian JNature reviews. Genetics, 2019-07, Vol.20 (7), p.389-403 [Periódico revisado por pares]England: Nature Publishing GroupTexto completo disponível |
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Material Type: Artigo
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eDoctor: machine learning and the future of medicineHandelman, G. S. ; Kok, H. K. ; Chandra, R. V. ; Razavi, A. H. ; Lee, M. J. ; Asadi, H.Journal of internal medicine, 2018-12, Vol.284 (6), p.603-619 [Periódico revisado por pares]England: Blackwell Publishing LtdTexto completo disponível |
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Material Type: Artigo
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Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning MethodsHandelman, Guy S ; Kok, Hong Kuan ; Chandra, Ronil V ; Razavi, Amir H ; Huang, Shiwei ; Brooks, Mark ; Lee, Michael J ; Asadi, HamedAmerican journal of roentgenology (1976), 2019-01, Vol.212 (1), p.38-43 [Periódico revisado por pares]United StatesTexto completo disponível |
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Material Type: Artigo
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Do no harm: a roadmap for responsible machine learning for health careWiens, Jenna ; Saria, Suchi ; Sendak, Mark ; Ghassemi, Marzyeh ; Liu, Vincent X ; Doshi-Velez, Finale ; Jung, Kenneth ; Heller, Katherine ; Kale, David ; Saeed, Mohammed ; Ossorio, Pilar N ; Thadaney-Israni, Sonoo ; Goldenberg, AnnaNature medicine, 2019-09, Vol.25 (9), p.1337-1340 [Periódico revisado por pares]United States: Nature Publishing GroupTexto completo disponível |
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Material Type: Artigo
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Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challengeKnoll, Florian ; Murrell, Tullie ; Sriram, Anuroop ; Yakubova, Nafissa ; Zbontar, Jure ; Rabbat, Michael ; Defazio, Aaron ; Muckley, Matthew J. ; Sodickson, Daniel K. ; Zitnick, C. Lawrence ; Recht, Michael P.Magnetic resonance in medicine, 2020-12, Vol.84 (6), p.3054-3070 [Periódico revisado por pares]United States: Wiley Subscription Services, IncTexto completo disponível |
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Material Type: Artigo
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Prefrontal cortex as a meta-reinforcement learning systemWang, Jane X ; Kurth-Nelson, Zeb ; Kumaran, Dharshan ; Tirumala, Dhruva ; Soyer, Hubert ; Leibo, Joel Z ; Hassabis, Demis ; Botvinick, MatthewNature neuroscience, 2018-06, Vol.21 (6), p.860-868 [Periódico revisado por pares]United States: Nature Publishing GroupTexto completo disponível |
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Material Type: Artigo
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An Efficient and Private ECG Classification System Using Split and Semi-Supervised LearningAyad, Ahmad ; Barhoush, Mahdi ; Frei, Marian ; Volker, Benedikt ; Schmeink, AnkeIEEE journal of biomedical and health informatics, 2023-09, Vol.PP (9), p.1-12 [Periódico revisado por pares]United States: IEEETexto completo disponível |
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Material Type: Artigo
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Supervised Machine Learning: A Brief PrimerJiang, Tammy ; Gradus, Jaimie L. ; Rosellini, Anthony J.Behavior therapy, 2020-09, Vol.51 (5), p.675-687 [Periódico revisado por pares]England: Elsevier LtdTexto completo disponível |
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10 |
Material Type: Artigo
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Classification of Human White Blood Cells Using Machine Learning for Stain‐Free Imaging Flow CytometryLippeveld, Maxim ; Knill, Carly ; Ladlow, Emma ; Fuller, Andrew ; Michaelis, Louise J ; Saeys, Yvan ; Filby, Andrew ; Peralta, DanielCytometry. Part A, 2020-03, Vol.97 (3), p.308-319 [Periódico revisado por pares]Hoboken, USA: John Wiley & Sons, IncTexto completo disponível |