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  1. 1
    Boxplots of classification error rates for all algorithms.

    Boxplots of classification error rates for all algorithms. by Genliang Li (5816264)

    Published 2025
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  2. 2
    Convergence curves for all algorithms.

    Convergence curves for all algorithms. by Genliang Li (5816264)

    Published 2025
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  3. 3
    Parameter Settings for competitive algorithms.

    Parameter Settings for competitive algorithms. by Genliang Li (5816264)

    Published 2025
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  4. 4
    Details of multiple GWO algorithm variants.

    Details of multiple GWO algorithm variants. by Genliang Li (5816264)

    Published 2025
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  5. 5
    The average running time of all competing algorithms.

    The average running time of all competing algorithms. by Genliang Li (5816264)

    Published 2025
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  6. 6
    Boxplots of feature subset size for all algorithm.

    Boxplots of feature subset size for all algorithm. by Genliang Li (5816264)

    Published 2025
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  7. 7
    Comparison of classification error rates for different competitor algorithms, with the top-ranked results shown in bold.

    Comparison of classification error rates for different competitor algorithms, with the top-ranked results shown in bold. by Genliang Li (5816264)

    Published 2025
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  8. 8
    Comparison of feature subset sizes for different competitor algorithms, and the top-ranked results are shown in bold.

    Comparison of feature subset sizes for different competitor algorithms, and the top-ranked results are shown in bold. by Genliang Li (5816264)

    Published 2025
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  9. 9
    Friedman test for classification error rate, ranked first results are shown in bold.

    Friedman test for classification error rate, ranked first results are shown in bold. by Genliang Li (5816264)

    Published 2025
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  10. 10
    The Wilcoxon rank sum test for classification error rates, where no difference is shown in bold.

    The Wilcoxon rank sum test for classification error rates, where no difference is shown in bold. by Genliang Li (5816264)

    Published 2025
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  11. 11
    Comparison of classification error rates for ablation experiments, where the top-ranked results are shown in bold.

    Comparison of classification error rates for ablation experiments, where the top-ranked results are shown in bold. by Genliang Li (5816264)

    Published 2025
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  12. 12
    Comparing AUROC, exploited biases, use cases and issues of Graph Attention Networks on similarity and patient-centric graphs (directed, reversed directed and undirected) for the classification of sepsis on complete blood count data (higher values represent better performance). We evaluated the classification performance on two datasets (internal and external dataset). Bold values represent the best values in each column.

    Comparing AUROC, exploited biases, use cases and issues of Graph Attention Networks on similarity and patient-centric graphs (directed, reversed directed and undirected) for the cl... by Daniel Walke (21680915)

    Published 2025
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  13. 13
    Fault classification proportion.

    Fault classification proportion. by Yi-Qiang Xia (20161326)

    Published 2024
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  14. 14
    Feature subset size comparison for ablation experiments, and the top ranked results are shown in bold.

    Feature subset size comparison for ablation experiments, and the top ranked results are shown in bold. by Genliang Li (5816264)

    Published 2025
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  15. 15
    The flowchart of GWO.

    The flowchart of GWO. by Genliang Li (5816264)

    Published 2025
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  16. 16
    Comparison of GWO and AMGWO convergence factors.

    Comparison of GWO and AMGWO convergence factors. by Genliang Li (5816264)

    Published 2025
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  17. 17
    Grey Wolf hierarchy.

    Grey Wolf hierarchy. by Genliang Li (5816264)

    Published 2025
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  18. 18
    Friedman test for feature subset size, ranking first results are shown in bold.

    Friedman test for feature subset size, ranking first results are shown in bold. by Genliang Li (5816264)

    Published 2025
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  19. 19
    Wilcoxon rank sum test for feature subset sizes, where no difference is shown in bold.

    Wilcoxon rank sum test for feature subset sizes, where no difference is shown in bold. by Genliang Li (5816264)

    Published 2025
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  20. 20
    The dataset used in the experiments.

    The dataset used in the experiments. by Genliang Li (5816264)

    Published 2025
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