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Showing 1 - 20 results of 12,022 for search '(( data using algorithm ) OR ((( develop based algorithm ) OR ( alignment network algorithm ))))', query time: 0.34s Refine Results
  1. 1
    Flowchart of the algorithm.

    Flowchart of the algorithm. by Xingan Fu (21594713)

    Published 2025
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  2. 2
    Representative tools using heuristic strategies for network alignment.

    Representative tools using heuristic strategies for network alignment. by Giuseppe Agapito (104634)

    Published 2025
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  3. 3
    DMTD algorithm.

    DMTD algorithm. by Yunhu Huang (21402795)

    Published 2025
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  4. 4
    Parameters of the machine learning algorithms used in the study.

    Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

    Published 2025
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  5. 5
    The speed of anchor-based algorithms.

    The speed of anchor-based algorithms. by Olarewaju Mubashiru Lawal (14710251)

    Published 2025
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  6. 6
    Federated averaging algorithm.

    Federated averaging algorithm. by Yan Qin (118276)

    Published 2025
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  7. 7
    Heuristic approaches for configuring network alignment algorithms.

    Heuristic approaches for configuring network alignment algorithms. by Giuseppe Agapito (104634)

    Published 2025
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  8. 8
    Flowchart of the general algorithm for one trial.

    Flowchart of the general algorithm for one trial. by Junying Wang (509009)

    Published 2025
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  9. 9
    Computational cost of anchor-based algorithms.

    Computational cost of anchor-based algorithms. by Olarewaju Mubashiru Lawal (14710251)

    Published 2025
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  10. 10
    Ranking of ML algorithms.

    Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

    Published 2025
    “…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …”
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  11. 11
    Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40).

    Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

    Published 2025
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  12. 12
    Algorithm parameter setting.

    Algorithm parameter setting. by Haiyan Zhang (176919)

    Published 2025
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  13. 13
    Comparison of information on predicting survival outcomes or metastasis of cancer patients using machine learning algorithms in the past.

    Comparison of information on predicting survival outcomes or metastasis of cancer patients using machine learning algorithms in the past. by Jingru Dong (14076094)

    Published 2025
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  14. 14
    Comparative results with existing representative algorithms.

    Comparative results with existing representative algorithms. by Yan Qin (118276)

    Published 2025
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  15. 15
    UpSet diagram illustrating the overlap of DNBs selected by our method and top-ranked genes by the 13 baseline centrality-based ranking algorithms.

    UpSet diagram illustrating the overlap of DNBs selected by our method and top-ranked genes by the 13 baseline centrality-based ranking algorithms. by Fatemeh Keikha (20917848)

    Published 2025
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  16. 16
    The overview of the ML algorithms’ flowchart.

    The overview of the ML algorithms’ flowchart. by Yasemin Ayaz Atalan (21989402)

    Published 2025
    “…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …”
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  17. 17
    Pseudocode for the missForestPredict algorithm.

    Pseudocode for the missForestPredict algorithm. by Elena Albu (15181070)

    Published 2025
    Subjects: “…missforest imputation algorithm…”
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  18. 18
    Silhouette scores for each clustering algorithm.

    Silhouette scores for each clustering algorithm. by Zoïe W. Alexiou (21989297)

    Published 2025
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  19. 19
    UIQI of the results of each algorithm.

    UIQI of the results of each algorithm. by Haiyan Zhang (176919)

    Published 2025
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  20. 20
    PSNR of the results of each algorithm.

    PSNR of the results of each algorithm. by Haiyan Zhang (176919)

    Published 2025
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