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Showing 1 - 20 results of 1,389 for search '(( ((python models) OR (python code)) predicted ) OR ( python model implementing ))', query time: 0.47s Refine Results
  1. 1
    Models.

    Models. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  2. 2
    Python code.

    Python code. by Iver Martinsen (14059479)

    Published 2022
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  3. 3
    Python code.

    Python code. by Kapil Newar (6533048)

    Published 2022
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  4. 4
    Python code.

    Python code. by Ryo Iwasaki (14210016)

    Published 2022
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  5. 5
    Modelling COVID-19 evolution and control in Portugal: Code and data from 2 of March to 19 August 2020.

    Modelling COVID-19 evolution and control in Portugal: Code and data from 2 of March to 19 August 2020. by Ricardo Jorge Pais (3627494)

    Published 2020
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  6. 6
    Numbers of predictions.

    Numbers of predictions. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  7. 7
    Python source code of the framework.

    Python source code of the framework. by Tomasz Gutowski (17200042)

    Published 2023
    “…<p>This supplementary file contains the complete Python source code for training the machine learning models to predict patient medication responses and for generating optimized medication schedules.…”
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  8. 8
    Prediction overlap with experimental data.

    Prediction overlap with experimental data. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  9. 9
    python3 software to reproduce Figs 6, 7 and 8.

    python3 software to reproduce Figs 6, 7 and 8. by Stéphane Plaszczynski (14992817)

    Published 2023
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  10. 10
    Predictions at the A) <i>invected</i> and B) <i>vestigial</i> loci.

    Predictions at the A) <i>invected</i> and B) <i>vestigial</i> loci. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  11. 11
    Gaussian Process kernels comparison - Datasets and python code

    Gaussian Process kernels comparison - Datasets and python code by Jiabo Lu (17181766)

    Published 2024
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  12. 12
    Multiprocessing and GPU application of SVMs significantly reduces run-times.

    Multiprocessing and GPU application of SVMs significantly reduces run-times. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  13. 13
    Deep-MOCCA schematic.

    Deep-MOCCA schematic. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  14. 14
    Core data preparation features.

    Core data preparation features. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  15. 15
    Cross-validation Precision/Recall curves.

    Cross-validation Precision/Recall curves. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  16. 16
    Sequence feature analysis.

    Sequence feature analysis. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  17. 17
    The Python source code for a random forest model

    The Python source code for a random forest model by Hao Yansong (17413653)

    Published 2023
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  18. 18
    Core python codes for the machine-learning & deep learning model.

    Core python codes for the machine-learning & deep learning model. by Archana Prabahar (21030164)

    Published 2025
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  19. 19
    ProSmith model overview.

    ProSmith model overview. by Alexander Kroll (9304225)

    Published 2024
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  20. 20
    Hyperparameters of the ProSmith gradient boosting models.

    Hyperparameters of the ProSmith gradient boosting models. by Alexander Kroll (9304225)

    Published 2024
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