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Showing 1 - 20 results of 43 for search '(( binary best based optimization algorithm ) OR ( binary data class identification algorithm ))', query time: 1.17s Refine Results
  1. 1
    Best optimizer results of Lightbgm.

    Best optimizer results of Lightbgm. by Balraj Preet Kaur (20370832)

    Published 2024
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  2. 2
    Best optimizer results of Adaboost.

    Best optimizer results of Adaboost. by Balraj Preet Kaur (20370832)

    Published 2024
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  3. 3
    Best optimizer results of Lightbgm.

    Best optimizer results of Lightbgm. by Balraj Preet Kaur (20370832)

    Published 2024
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  4. 4
    Best optimizer results of KNN.

    Best optimizer results of KNN. by Balraj Preet Kaur (20370832)

    Published 2024
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  5. 5
    Best optimizer results of KNN.

    Best optimizer results of KNN. by Balraj Preet Kaur (20370832)

    Published 2024
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  6. 6
    One advantage of our algorithm is that it is not binary in nature.

    One advantage of our algorithm is that it is not binary in nature. by Yong Kuk Kim (13955214)

    Published 2022
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  7. 7
    Best optimizer results of Decision tree.

    Best optimizer results of Decision tree. by Balraj Preet Kaur (20370832)

    Published 2024
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  8. 8
    Best optimizer result for Adaboost classifier.

    Best optimizer result for Adaboost classifier. by Balraj Preet Kaur (20370832)

    Published 2024
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  9. 9
    Best optimizer results for random forest.

    Best optimizer results for random forest. by Balraj Preet Kaur (20370832)

    Published 2024
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  10. 10
    Best optimizer results of Decision tree.

    Best optimizer results of Decision tree. by Balraj Preet Kaur (20370832)

    Published 2024
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  11. 11
    Best optimizer results of Extra tree.

    Best optimizer results of Extra tree. by Balraj Preet Kaur (20370832)

    Published 2024
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  12. 12
    Best optimizer results of Random Forest.

    Best optimizer results of Random Forest. by Balraj Preet Kaur (20370832)

    Published 2024
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  13. 13
    Best optimizer result for Extra tree.

    Best optimizer result for Extra tree. by Balraj Preet Kaur (20370832)

    Published 2024
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  14. 14
    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.

    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

    Published 2025
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  15. 15
    Confusion metrics using LR-HaPi algorithm.

    Confusion metrics using LR-HaPi algorithm. by Akib Mohi Ud Din Khanday (19065631)

    Published 2024
    “…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …”
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  16. 16
    Confusion metrics using MNB-HaPi algorithm.

    Confusion metrics using MNB-HaPi algorithm. by Akib Mohi Ud Din Khanday (19065631)

    Published 2024
    “…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …”
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  17. 17
    Confusion metrics using DT-HaPi algorithm.

    Confusion metrics using DT-HaPi algorithm. by Akib Mohi Ud Din Khanday (19065631)

    Published 2024
    “…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …”
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  18. 18
    Confusion metrics using SVM-HaPi algorithm.

    Confusion metrics using SVM-HaPi algorithm. by Akib Mohi Ud Din Khanday (19065631)

    Published 2024
    “…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …”
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  19. 19
    ROC curves of our out-of-class algorithm (blue) and a threshold decision boundary (red) representing the true positive rates (TPR) compared to the false positive rates (FPR) for test data classification results across all folds.

    ROC curves of our out-of-class algorithm (blue) and a threshold decision boundary (red) representing the true positive rates (TPR) compared to the false positive rates (FPR) for te... by G. Christopher Marais (21492084)

    Published 2025
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  20. 20
    Proposed framework for propaganda identification.

    Proposed framework for propaganda identification. by Akib Mohi Ud Din Khanday (19065631)

    Published 2024
    “…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …”
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