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Showing 61 - 80 results of 510 for search '(( python code predicts ) OR ( python effective implementation ))', query time: 0.39s Refine Results
  1. 61
    Ideal-observer predictions for F0 discrimination.

    Ideal-observer predictions for F0 discrimination. by Daniel R. Guest (12192028)

    Published 2022
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  2. 62
    Scheme of hippocampal detection and prediction of MTLE with the hippocampus as the epileptogenic area.

    Scheme of hippocampal detection and prediction of MTLE with the hippocampus as the epileptogenic area. by Kyoya Sakashita (14670611)

    Published 2023
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  3. 63
    Ideal-observer predictions for pure-tone frequency discrimination.

    Ideal-observer predictions for pure-tone frequency discrimination. by Daniel R. Guest (12192028)

    Published 2022
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  4. 64
    <i>cgbind</i>: A Python Module and Web App for Automated Metallocage Construction and Host–Guest Characterization

    <i>cgbind</i>: A Python Module and Web App for Automated Metallocage Construction and Host–Guest Characterization by Tom A. Young (6082409)

    Published 2020
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  5. 65
    <i>cgbind</i>: A Python Module and Web App for Automated Metallocage Construction and Host–Guest Characterization

    <i>cgbind</i>: A Python Module and Web App for Automated Metallocage Construction and Host–Guest Characterization by Tom A. Young (6082409)

    Published 2020
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  6. 66
    Predictive performance for earthworm species prediction across different classification models and handcrafted features on external validation dataset (<i>E. fetida</i> vs others).

    Predictive performance for earthworm species prediction across different classification models and handcrafted features on external validation dataset (<i>E. fetida</i> vs others). by Saiqa Andleeb (11442771)

    Published 2021
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  7. 67
    The optimal ProSmith models combine predictions based on the multimodal Transformer Network with predictions based on separate numerical representations of proteins and small molecules.

    The optimal ProSmith models combine predictions based on the multimodal Transformer Network with predictions based on separate numerical representations of proteins and small molec... by Alexander Kroll (9304225)

    Published 2024
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  8. 68
    Predictive performance for earthworm species prediction across different classification models and deep feature maps on external validation dataset (<i>E. fetida</i> vs others).

    Predictive performance for earthworm species prediction across different classification models and deep feature maps on external validation dataset (<i>E. fetida</i> vs others). by Saiqa Andleeb (11442771)

    Published 2021
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  9. 69
    Predictive performance for earthworm species prediction across different classification models and handcrafted features using 10-fold CV (<i>E. fetida</i> vs others).

    Predictive performance for earthworm species prediction across different classification models and handcrafted features using 10-fold CV (<i>E. fetida</i> vs others). by Saiqa Andleeb (11442771)

    Published 2021
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  10. 70
    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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  11. 71
    Predictive performance for earthworm species prediction across different classification models and deep feature maps using 10-fold CV (<i>E. fetida</i> vs others).

    Predictive performance for earthworm species prediction across different classification models and deep feature maps using 10-fold CV (<i>E. fetida</i> vs others). by Saiqa Andleeb (11442771)

    Published 2021
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  12. 72
    Sampling parameters and adding metabolic structure.

    Sampling parameters and adding metabolic structure. by Robert Marsland (8616483)

    Published 2020
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  13. 73
    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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  14. 74
    Deep-MOCCA schematic.

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

    Published 2022
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  15. 75
    Core data preparation features.

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

    Published 2022
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  16. 76
    Models.

    Models. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  17. 77
    Cross-validation Precision/Recall curves.

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

    Published 2022
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  18. 78
    Sequence feature analysis.

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

    Published 2022
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  19. 79
    PypKa: A Flexible Python Module for Poisson–Boltzmann-Based p<i>K</i><sub>a</sub> Calculations

    PypKa: A Flexible Python Module for Poisson–Boltzmann-Based p<i>K</i><sub>a</sub> Calculations by Pedro B. P. S. Reis (4862482)

    Published 2020
    “…This is a free and open-source tool that provides a simple, reusable, and extensible Python API and CLI for p<i>K</i><sub>a</sub> calculations with a valuable trade-off between fast and accurate predictions. …”
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  20. 80
    Performance metrics for ProSmith and ESP for the prediction of enzyme-substrate pairs.

    Performance metrics for ProSmith and ESP for the prediction of enzyme-substrate pairs. by Alexander Kroll (9304225)

    Published 2024
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