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Showing 1 - 20 results of 174 for search '(( binary _ robust detection algorithm ) OR ( binary data models optimization algorithm ))', query time: 0.46s 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
    Numerical example for determining the optimal number of clusters in Algorithm 2.

    Numerical example for determining the optimal number of clusters in Algorithm 2. by Yi Wei Tye (22208735)

    Published 2025
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  8. 8
    Binary contingency table.

    Binary contingency table. by Lu Xiao (314030)

    Published 2024
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  9. 9
    RMSE on the test data when fitting (logistic) quadratic models to binary data across increasing measurement error values .

    RMSE on the test data when fitting (logistic) quadratic models to binary data across increasing measurement error values . by Jakub Stoklosa (3315042)

    Published 2023
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  10. 10
    Top-performing model configuration and performance by algorithm type.

    Top-performing model configuration and performance by algorithm type. by Uğur Ejder (22683228)

    Published 2025
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  11. 11
    MCL-FWA-BILSTM binary and multiclass accuracy comparison.

    MCL-FWA-BILSTM binary and multiclass accuracy comparison. by Arshad Hashmi (13835488)

    Published 2024
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  12. 12
    Binary classification accuracy and DR comparison on NSL-KDD.

    Binary classification accuracy and DR comparison on NSL-KDD. by Arshad Hashmi (13835488)

    Published 2024
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  13. 13
    Confusion matrix for a binary outcome (adapted from Fawcett [30]).

    Confusion matrix for a binary outcome (adapted from Fawcett [30]). by João Albuquerque (12936572)

    Published 2022
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  14. 14
    Accuracy comparison with existing approaches for Binary Classification with state of art on UNSW-NB15 and NSL-KDD.

    Accuracy comparison with existing approaches for Binary Classification with state of art on UNSW-NB15 and NSL-KDD. by Arshad Hashmi (13835488)

    Published 2024
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  15. 15
    Accuracy comparison with existing approaches for binary classification with state of art on UNSW-NB15 and NSL-KDD.

    Accuracy comparison with existing approaches for binary classification with state of art on UNSW-NB15 and NSL-KDD. by Arshad Hashmi (13835488)

    Published 2024
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  16. 16
    The main workflow of the proposed algorithm.

    The main workflow of the proposed algorithm. by Xin Li (51274)

    Published 2023
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  17. 17
    Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data

    Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data by Changhun Kim (682542)

    Published 2022
    “…In this study, the effects of CI and data scarcity (DS) on the performance of binary classification models were investigated using ToxCast bioassay data. …”
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  18. 18
    Comparison of accuracy of MCL-FWA-BILSTM model with existing models for binary classification on UNSW-NB15 and NSL-KDD.

    Comparison of accuracy of MCL-FWA-BILSTM model with existing models for binary classification on UNSW-NB15 and NSL-KDD. by Arshad Hashmi (13835488)

    Published 2024
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  19. 19
    The comparison of the accuracy score of the benchmark and the proposed models.

    The comparison of the accuracy score of the benchmark and the proposed models. by Uğur Ejder (22683228)

    Published 2025
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  20. 20
    The prediction accuracy of simple versus hybrid models.

    The prediction accuracy of simple versus hybrid models. by Uğur Ejder (22683228)

    Published 2025
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