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Showing 101 - 120 results of 15,885 for search '(((( algorithm phase function ) OR ( algorithm a function ))) OR ( algorithm python function ))', query time: 0.65s Refine Results
  1. 101
    Cohen’s effect size of means of function evaluations on N100E200 in Table 2—Phase I.

    Cohen’s effect size of means of function evaluations on N100E200 in Table 2—Phase I. by Fadi K. Dib (5204807)

    Published 2023
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  2. 102
    Cohen’s effect size of means of function evaluations on N40E70 in Table 8—Phase III.

    Cohen’s effect size of means of function evaluations on N40E70 in Table 8—Phase III. by Fadi K. Dib (5204807)

    Published 2023
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  3. 103
    Cohen’s effect size of means of objective function on N50E100 in Table 2—Phase I.

    Cohen’s effect size of means of objective function on N50E100 in Table 2—Phase I. by Fadi K. Dib (5204807)

    Published 2023
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  4. 104
    Cohen’s effect size of means of function evaluations on N210E350 in Table 8—Phase III.

    Cohen’s effect size of means of function evaluations on N210E350 in Table 8—Phase III. by Fadi K. Dib (5204807)

    Published 2023
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  5. 105
    Cohen’s effect size of means of function evaluations on N200E400 in Table 2—Phase I.

    Cohen’s effect size of means of function evaluations on N200E400 in Table 2—Phase I. by Fadi K. Dib (5204807)

    Published 2023
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  6. 106
    Cohen’s effect size of means of objective function on N100E200 in Table 2—Phase I.

    Cohen’s effect size of means of objective function on N100E200 in Table 2—Phase I. by Fadi K. Dib (5204807)

    Published 2023
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  7. 107
    Cohen’s effect size of means of objective function on N47E81 in Table 6—Phase II.

    Cohen’s effect size of means of objective function on N47E81 in Table 6—Phase II. by Fadi K. Dib (5204807)

    Published 2023
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  8. 108
    Molecular Graph-Based Deep Learning Algorithm Facilitates an Imaging-Based Strategy for Rapid Discovery of Small Molecules Modulating Biomolecular Condensates

    Molecular Graph-Based Deep Learning Algorithm Facilitates an Imaging-Based Strategy for Rapid Discovery of Small Molecules Modulating Biomolecular Condensates by Peng Gao (35465)

    Published 2023
    “…Furthermore, we validated that these candidates do not affect the normal splicing function of TDP-43. Taken together, a combination of an imaging-based screen and a GCN-based deep learning method dramatically improves the speed and accuracy of the compound screen for biomolecular condensates.…”
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  9. 109
    Molecular Graph-Based Deep Learning Algorithm Facilitates an Imaging-Based Strategy for Rapid Discovery of Small Molecules Modulating Biomolecular Condensates

    Molecular Graph-Based Deep Learning Algorithm Facilitates an Imaging-Based Strategy for Rapid Discovery of Small Molecules Modulating Biomolecular Condensates by Peng Gao (35465)

    Published 2023
    “…Furthermore, we validated that these candidates do not affect the normal splicing function of TDP-43. Taken together, a combination of an imaging-based screen and a GCN-based deep learning method dramatically improves the speed and accuracy of the compound screen for biomolecular condensates.…”
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  10. 110
    Constructing the dynamical law.

    Constructing the dynamical law. by Robert Marsland (8616483)

    Published 2020
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  11. 111
    Definitions of global parameters used for constructing random ecosystems.

    Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

    Published 2020
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  12. 112
    Fig 9 -

    Fig 9 - by Maryam Shadi (14237349)

    Published 2022
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  13. 113
    The definition of parameters of Eq 1.

    The definition of parameters of Eq 1. by Maryam Shadi (14237349)

    Published 2022
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  14. 114
    Fig 11 -

    Fig 11 - by Maryam Shadi (14237349)

    Published 2022
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  15. 115
    Fig 8 -

    Fig 8 - by Maryam Shadi (14237349)

    Published 2022
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  16. 116
    Show parameter <i>N</i><sub><i>x</i></sub> for different topologies.

    Show parameter <i>N</i><sub><i>x</i></sub> for different topologies. by Maryam Shadi (14237349)

    Published 2022
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  17. 117
    Fig 5 -

    Fig 5 - by Maryam Shadi (14237349)

    Published 2022
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  18. 118
    Fig 3 -

    Fig 3 - by Maryam Shadi (14237349)

    Published 2022
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  19. 119
    Fig 6 -

    Fig 6 - by Maryam Shadi (14237349)

    Published 2022
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  20. 120
    The MATLAB code we used to run the standard community-detection algorithm [14, 21] to quantify phase modularity (at each time point per frequency per condition per participant) as the index <i>q</i> (maximized modularity; 0 ≤ <i>q</i> ≤ 1).

    The MATLAB code we used to run the standard community-detection algorithm [14, 21] to quantify phase modularity (at each time point per frequency per condition per participant) as... by Melisa Menceloglu (7610213)

    Published 2024
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