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Showing 801 - 820 results of 4,588 for search '(( element method algorithm ) OR ((( data code algorithm ) OR ( data processing algorithm ))))', query time: 0.39s Refine Results
  1. 801
    Number of edges selected through cross-validation on the random graph dataset.

    Number of edges selected through cross-validation on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  2. 802
    Graphs of the regularization terms.

    Graphs of the regularization terms. by Tomokaze Shiratori (9635271)

    Published 2024
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  3. 803
    F1 score of a given number of selected edges on the chain graph dataset.

    F1 score of a given number of selected edges on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  4. 804
    Computation time as a function of the number of variables on the chain graph dataset.

    Computation time as a function of the number of variables on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  5. 805
    Computation time as a function of the number of variables on the random graph dataset.

    Computation time as a function of the number of variables on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  6. 806
    F1 score of a given number of selected edges on the random graph dataset.

    F1 score of a given number of selected edges on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  7. 807
    F1 score of edges selected through cross-validation on the random graph dataset.

    F1 score of edges selected through cross-validation on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  8. 808
    Code

    Code by Baoqiang Chen (21099509)

    Published 2025
    “…<p><br></p><p dir="ltr"><b>Sequence Data Processing</b></p><p dir="ltr">For endogenous mRNA, raw FASTQ files were analyzed using the SLAM-Dunk<sup>4</sup> package, mapping reads to the human GRCh38 genome. …”
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  9. 809
    Identifying factors affecting driver takeover time and crash risk during the automated driving takeover process

    Identifying factors affecting driver takeover time and crash risk during the automated driving takeover process by Changshuai Wang (20544152)

    Published 2025
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  10. 810
    Comparison result of the encryption efficiency required by different encryption algorithms for the Female image at varying sizes.

    Comparison result of the encryption efficiency required by different encryption algorithms for the Female image at varying sizes. by Mingyi Huo (21743594)

    Published 2025
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  11. 811
    Confusion matrix for MRIQC classifier experiment. A confusion matrix indicates that agreement between the QC app and the MRIQC classifier for T1w images was high with a few exceptions. We note that one scan failed to run through MRIQC and thus could not be included in this analysis.

    Confusion matrix for MRIQC classifier experiment. A confusion matrix indicates that agreement between the QC app and the MRIQC classifier for T1w images was high with a few excepti... by Michael E. Kim (21956727)

    Published 2025
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  12. 812
    QC app interface.

    QC app interface. by Michael E. Kim (21956727)

    Published 2025
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  13. 813
    Fleiss’ Kappa scores for QC inter-rater variability experiments.

    Fleiss’ Kappa scores for QC inter-rater variability experiments. by Michael E. Kim (21956727)

    Published 2025
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  14. 814
    Issues with automatic and team-based QC.

    Issues with automatic and team-based QC. by Michael E. Kim (21956727)

    Published 2025
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  15. 815
    Inter-rater variability results for PreQual, SLANT-TICV, and the CC4 tract.

    Inter-rater variability results for PreQual, SLANT-TICV, and the CC4 tract. by Michael E. Kim (21956727)

    Published 2025
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  16. 816
    Qualitative results for MRIQC classifier comparison experiment.

    Qualitative results for MRIQC classifier comparison experiment. by Michael E. Kim (21956727)

    Published 2025
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  17. 817
    Proposed pipeline for efficient manual QC.

    Proposed pipeline for efficient manual QC. by Michael E. Kim (21956727)

    Published 2025
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  18. 818
    Diagram for QC workflow.

    Diagram for QC workflow. by Michael E. Kim (21956727)

    Published 2025
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  19. 819
    <b>Table </b><b>1</b><b>: Types of Sentiment</b><b> Classification</b><b>Table </b><b>2</b><b>: Types of Sentiment</b><b> </b><b>Analysis Techniques/Algorithms</b><b>Table 3: Literature Review Summary Table</b>

    <b>Table </b><b>1</b><b>: Types of Sentiment</b><b> Classification</b><b>Table </b><b>2</b><b>: Types of Sentiment</b><b> </b><b>Analysis Techniques/Algorithms</b><b>Table 3: Liter... by Ritu SHARMA (15463307)

    Published 2024
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  20. 820
    Confusion matrix for Random Forest algorithm (3000 Number of trees) highlights the classification accuracy across different classes.

    Confusion matrix for Random Forest algorithm (3000 Number of trees) highlights the classification accuracy across different classes. by Sadia Nazim (21440115)

    Published 2025
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