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Material Type: Artigo
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The State of the Art in Enhancing Trust in Machine Learning Models with the Use of VisualizationsChatzimparmpas, A. ; Martins, R. M. ; Jusufi, I. ; Kucher, K. ; Rossi, F. ; Kerren, A.Computer graphics forum, 2020-06, Vol.39 (3), p.713-756 [Periódico revisado por pares]Oxford: Blackwell Publishing LtdTexto completo disponível |
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Material Type: Artigo
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A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systemsCheng, Lefeng ; Yu, TaoInternational journal of energy research, 2019-05, Vol.43 (6), p.1928-1973 [Periódico revisado por pares]Bognor Regis: Hindawi LimitedTexto completo disponível |
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Material Type: Artigo
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Supervised machine learning in multimodal learning analytics for estimating success in project‐based learningSpikol, Daniel ; Ruffaldi, Emanuele ; Dabisias, Giacomo ; Cukurova, MutluJournal of computer assisted learning, 2018-08, Vol.34 (4), p.366-377 [Periódico revisado por pares]Oxford: Wiley-BlackwellTexto completo disponível |
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Material Type: Artigo
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Self-Directed Learning: A Cognitive and Computational PerspectiveGureckis, Todd M. ; Markant, Douglas B.Perspectives on psychological science, 2012-09, Vol.7 (5), p.464-481 [Periódico revisado por pares]Los Angeles, CA: Sage PublicationsTexto completo disponível |
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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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Unsupervised and semi‐supervised learning: the next frontier in machine learning for plant systems biologyYan, Jun ; Wang, XiangfengThe Plant journal : for cell and molecular biology, 2022-09, Vol.111 (6), p.1527-1538 [Periódico revisado por pares]Oxford: Blackwell Publishing LtdTexto completo disponível |
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Material Type: Artigo
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Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammographySamala, Ravi K. ; Chan, Heang-Ping ; Hadjiiski, Lubomir ; Helvie, Mark A. ; Wei, Jun ; Cha, KennyMedical physics (Lancaster), 2016-12, Vol.43 (12), p.6654-6666 [Periódico revisado por pares]United States: American Association of Physicists in MedicineTexto completo disponível |
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Material Type: Artigo
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How to apply zero‐shot learning to text data in substance use research: An overview and tutorial with media dataRiordan, Benjamin ; Bonela, Abraham Albert ; He, Zhen ; Nibali, Aiden ; Anderson‐Luxford, Dan ; Kuntsche, EmmanuelAddiction (Abingdon, England), 2024-05, Vol.119 (5), p.951-959 [Periódico revisado por pares]England: Blackwell Publishing LtdTexto completo disponível |
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Material Type: Artigo
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Deep learning with convolutional neural networks for EEG decoding and visualizationSchirrmeister, Robin Tibor ; Springenberg, Jost Tobias ; Fiederer, Lukas Dominique Josef ; Glasstetter, Martin ; Eggensperger, Katharina ; Tangermann, Michael ; Hutter, Frank ; Burgard, Wolfram ; Ball, TonioHuman brain mapping, 2017-11, Vol.38 (11), p.5391-5420 [Periódico revisado por pares]United States: John Wiley & Sons, IncTexto 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 |