Hasil Pencarian - S. M. Diakiw

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  1. 1
    A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical data

    A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical data oleh T. V. Nguyen, M. A. Dakka, S. M. Diakiw, M. D. VerMilyea, M. Perugini, J. M. M. Hall, D. Perugini

    Diterbitkan 2022-05-01
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  2. 2
    Efficient automated error detection in medical data using deep-learning and label-clustering

    Efficient automated error detection in medical data using deep-learning and label-clustering oleh T. V. Nguyen, S. M. Diakiw, M. D. VerMilyea, A. W. Dinsmore, M. Perugini, D. Perugini, J. M. M. Hall

    Diterbitkan 2023-11-01
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  3. 3
    Author Correction: Efficient automated error detection in medical data using deep-learning and label-clustering

    Author Correction: Efficient automated error detection in medical data using deep-learning and label-clustering oleh T. V. Nguyen, S. M. Diakiw, M. D. VerMilyea, A. W. Dinsmore, M. Perugini, D. Perugini, J. M. M. Hall

    Diterbitkan 2023-12-01
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  4. 4
    Automated detection of poor-quality data: case studies in healthcare

    Automated detection of poor-quality data: case studies in healthcare oleh M. A. Dakka, T. V. Nguyen, J. M. M. Hall, S. M. Diakiw, M. VerMilyea, R. Linke, M. Perugini, D. Perugini

    Diterbitkan 2021-09-01
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