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Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface
Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface
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Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface

Fahimi, Fatemeh ; Dosen, Strahinja ; Ang, Kai Keng ; Mrachacz-Kersting, Natalie ; Guan, Cuntai

IEEE transaction on neural networks and learning systems, 2021-09, Vol.32 (9), p.4039-4051

United States: IEEE

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Models for the modern power grid
Models for the modern power grid
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Models for the modern power grid

Cardieri, Paulo, 1964- Universidade Estadual de Campinas (Unicamp); Universidade Estadual De Campinas

https://repositorio.unicamp.br/acervo/detalhe/1191204

2014

Acesso online

3
Physician stress and burnout: the impact of health information technology
Physician stress and burnout: the impact of health information technology
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Physician stress and burnout: the impact of health information technology

Gardner, Rebekah L ; Cooper, Emily ; Haskell, Jacqueline ; Harris, Daniel A ; Poplau, Sara ; Kroth, Philip J ; Linzer, Mark

Journal of the American Medical Informatics Association : JAMIA, 2019-02, Vol.26 (2), p.106-114 [Periódico revisado por pares]

England: Oxford University Press

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4
Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19
Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19
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Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19

Chunara, Rumi ; Zhao, Yuan ; Chen, Ji ; Lawrence, Katharine ; Testa, Paul A ; Nov, Oded ; Mann, Devin M

Journal of the American Medical Informatics Association : JAMIA, 2021-01, Vol.28 (1), p.33-41 [Periódico revisado por pares]

England: Oxford University Press

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5
Virtual care expansion in the Veterans Health Administration during the COVID-19 pandemic: clinical services and patient characteristics associated with utilization
Virtual care expansion in the Veterans Health Administration during the COVID-19 pandemic: clinical services and patient characteristics associated with utilization
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Virtual care expansion in the Veterans Health Administration during the COVID-19 pandemic: clinical services and patient characteristics associated with utilization

Ferguson, Jacqueline M ; Jacobs, Josephine ; Yefimova, Maria ; Greene, Liberty ; Heyworth, Leonie ; Zulman, Donna M

Journal of the American Medical Informatics Association : JAMIA, 2021-03, Vol.28 (3), p.453-462 [Periódico revisado por pares]

England: Oxford University Press

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6
Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network
Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network
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Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network

Zhang, Kaishuo ; Robinson, Neethu ; Lee, Seong-Whan ; Guan, Cuntai

Neural networks, 2021-04, Vol.136, p.1-10 [Periódico revisado por pares]

United States: Elsevier Ltd

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7
Prediction of fatty liver disease using machine learning algorithms
Prediction of fatty liver disease using machine learning algorithms
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Prediction of fatty liver disease using machine learning algorithms

Wu, Chieh-Chen ; Yeh, Wen-Chun ; Hsu, Wen-Ding ; Islam, Md. Mohaimenul ; Nguyen, Phung Anh (Alex) ; Poly, Tahmina Nasrin ; Wang, Yao-Chin ; Yang, Hsuan-Chia ; (Jack) Li, Yu-Chuan

Computer methods and programs in biomedicine, 2019-03, Vol.170, p.23-29 [Periódico revisado por pares]

Ireland: Elsevier B.V

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8
Rapid implementation of a COVID-19 remote patient monitoring program
Rapid implementation of a COVID-19 remote patient monitoring program
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Rapid implementation of a COVID-19 remote patient monitoring program

Annis, Tucker ; Pleasants, Susan ; Hultman, Gretchen ; Lindemann, Elizabeth ; Thompson, Joshua A ; Billecke, Stephanie ; Badlani, Sameer ; Melton, Genevieve B

Journal of the American Medical Informatics Association : JAMIA, 2020-08, Vol.27 (8), p.1326-1330 [Periódico revisado por pares]

England: Oxford University Press

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Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network
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Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network

Liu, Yu-Ting ; Lin, Yang-Yin ; Wu, Shang-Lin ; Chuang, Chun-Hsiang ; Lin, Chin-Teng

IEEE transaction on neural networks and learning systems, 2016-02, Vol.27 (2), p.347-360

United States: IEEE

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10
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation
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Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation

Roth, Holger R. ; Le Lu ; Jiamin Liu ; Jianhua Yao ; Seff, Ari ; Cherry, Kevin ; Kim, Lauren ; Summers, Ronald M.

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1170-1181

United States: IEEE

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Deste Autor:

  1. Manganote, E
  2. Staut, L
  3. Henry, M
  4. Rizzi, C
  5. Viterbo, F

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