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Showing 1 - 20 results of 892 for search '(( genes based based optimization algorithm ) OR ( binary data storage optimization algorithm ))', query time: 0.55s Refine Results
  1. 1
    Sensitivity values of IRBMO vs. other binary algorithms.

    Sensitivity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  2. 2
    Specificity values of IRBMO vs. other binary algorithms.

    Specificity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  3. 3
    Fitness values of IRBMO vs. other binary algorithms.

    Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  4. 4
    Number of features selected for IRBMO vs. other binary algorithms.

    Number of features selected for IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  5. 5
    Classification accuracy values of IRBMO vs. other binary algorithms.

    Classification accuracy values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  6. 6
    F-score values of IRBMO vs. other binary algorithms.

    F-score values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  7. 7
    Key gene identification based on two machine learning algorithms.

    Key gene identification based on two machine learning algorithms. by Lijun Guo (605276)

    Published 2025
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  8. 8
    Genetic Algorithm (GA) and CAGE-based personalization block diagrams.

    Genetic Algorithm (GA) and CAGE-based personalization block diagrams. by Dmitrii Smirnov (8822324)

    Published 2020
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  9. 9
    Memory storage behavior.

    Memory storage behavior. by Chenyi Zhu (9383370)

    Published 2025
    “…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
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  10. 10
    IFS curves of two classification algorithms based on feature list yielded by MCFS.

    IFS curves of two classification algorithms based on feature list yielded by MCFS. by Zhan Dong Li (12481390)

    Published 2022
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  11. 11
    <i>Patient 1</i> GA-optimized model error.

    <i>Patient 1</i> GA-optimized model error. by Dmitrii Smirnov (8822324)

    Published 2020
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  12. 12
    <i>Patient 8</i> GA-optimized model error.

    <i>Patient 8</i> GA-optimized model error. by Dmitrii Smirnov (8822324)

    Published 2020
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  13. 13
    Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE46691.

    Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE46691. by Stephen R. Piccolo (8367780)

    Published 2022
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  14. 14
    Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE10320.

    Gene-set overlap results for top 50 genes according to average rank across feature-selection algorithms for GSE10320. by Stephen R. Piccolo (8367780)

    Published 2022
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  15. 15
    Optimal Drug-Target Docking Visualization.

    Optimal Drug-Target Docking Visualization. by Qijun Wo (12992781)

    Published 2025
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  16. 16
    Algorithm verification.

    Algorithm verification. by Dmitrii Smirnov (8822324)

    Published 2020
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  17. 17
    Screening MMRG gene variables associated with UC based on the optimal machine learning model.

    Screening MMRG gene variables associated with UC based on the optimal machine learning model. by Li Li (14993)

    Published 2025
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  18. 18
    Relative performance of classification algorithms using gene-expression and clinical predictors and performing feature selection.

    Relative performance of classification algorithms using gene-expression and clinical predictors and performing feature selection. by Stephen R. Piccolo (8367780)

    Published 2022
    “…Next, we sorted the algorithms based on the average rank across all dataset/class combinations. …”
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  19. 19
    <i>Patient 2</i> CAGE-based model error.

    <i>Patient 2</i> CAGE-based model error. by Dmitrii Smirnov (8822324)

    Published 2020
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  20. 20
    The Pseudo-Code of the IRBMO Algorithm.

    The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

    Published 2025
    “…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
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