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Showing 41 - 60 results of 158 for search '(( binary tasks based optimization algorithm ) OR ( single layer model optimization algorithm ))', query time: 0.33s Refine Results
  1. 41
    Example of sample data.

    Example of sample data. by Xiying Wang (4859998)

    Published 2025
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  2. 42
    Structure of BPNN.

    Structure of BPNN. by Xiying Wang (4859998)

    Published 2025
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  3. 43
    The workflow of EGA-BPNN.

    The workflow of EGA-BPNN. by Xiying Wang (4859998)

    Published 2025
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  4. 44
    S1 Data -

    S1 Data - by Xiying Wang (4859998)

    Published 2025
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  5. 45
    Technical approach.

    Technical approach. by Wenguang Li (6528113)

    Published 2024
    “…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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  6. 46
    Data set presentation.

    Data set presentation. by Wenguang Li (6528113)

    Published 2024
    “…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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  7. 47
    Pearson correlation coefficient matrix plot.

    Pearson correlation coefficient matrix plot. by Wenguang Li (6528113)

    Published 2024
    “…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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  8. 48
    SHAP of stacking.

    SHAP of stacking. by Wenguang Li (6528113)

    Published 2024
    “…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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  9. 49
    Demonstration of data imbalance.

    Demonstration of data imbalance. by Wenguang Li (6528113)

    Published 2024
    “…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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  10. 50
    Stacking ROC curve chart.

    Stacking ROC curve chart. by Wenguang Li (6528113)

    Published 2024
    “…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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  11. 51
    Confusion matrix.

    Confusion matrix. by Wenguang Li (6528113)

    Published 2024
    “…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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  12. 52
    GA-XGBoost feature importances.

    GA-XGBoost feature importances. by Wenguang Li (6528113)

    Published 2024
    “…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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  13. 53
    Partial results of the chi-square test.

    Partial results of the chi-square test. by Wenguang Li (6528113)

    Published 2024
    “…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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  14. 54
    Stacking confusion matrix.

    Stacking confusion matrix. by Wenguang Li (6528113)

    Published 2024
    “…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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  15. 55
    Stacking schematic diagram.

    Stacking schematic diagram. by Wenguang Li (6528113)

    Published 2024
    “…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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  16. 56
    PRNET [6].

    PRNET [6]. by Kritpawit Soongswang (19469311)

    Published 2024
    “…Our proposed algorithm identifies the optimal layer replication configuration for the model. …”
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  17. 57
    Example of horizontal flipping.

    Example of horizontal flipping. by Kritpawit Soongswang (19469311)

    Published 2024
    “…Our proposed algorithm identifies the optimal layer replication configuration for the model. …”
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  18. 58
    Example of extending the block (1).

    Example of extending the block (1). by Kritpawit Soongswang (19469311)

    Published 2024
    “…Our proposed algorithm identifies the optimal layer replication configuration for the model. …”
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  19. 59
    Cropping and aligning image.

    Cropping and aligning image. by Kritpawit Soongswang (19469311)

    Published 2024
    “…Our proposed algorithm identifies the optimal layer replication configuration for the model. …”
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  20. 60
    Example of extending the block (2).

    Example of extending the block (2). by Kritpawit Soongswang (19469311)

    Published 2024
    “…Our proposed algorithm identifies the optimal layer replication configuration for the model. …”
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