Search alternatives:
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
binary risk » primary risk (Expand Search), dietary risk (Expand Search)
risk models » risk model (Expand Search)
binary b » binary _ (Expand Search)
b driven » _ driven (Expand Search), i driven (Expand Search), β driven (Expand Search)
Showing 1 - 20 results of 24 for search '(( binary b driven optimization algorithm ) OR ( binary risk models optimization algorithm ))', query time: 0.92s Refine Results
  1. 1
    Correlation heatmap of performance scores among different feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO.

    Correlation heatmap of performance scores among different feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO. by Doaa Sami Khafaga (21463870)

    Published 2025
    Save to List
    Saved in:
  2. 2
    Density distribution plot of performance metrics for various feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO.

    Density distribution plot of performance metrics for various feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO. by Doaa Sami Khafaga (21463870)

    Published 2025
    Save to List
    Saved in:
  3. 3
    Calibration curves for the test set of four models.

    Calibration curves for the test set of four models. by Meng Cao (105914)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  4. 4
    ROC curves for the test set of four models.

    ROC curves for the test set of four models. by Meng Cao (105914)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  5. 5
    Performance metrics of the models on the training and test set.

    Performance metrics of the models on the training and test set. by Meng Cao (105914)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  6. 6
    <i>hi</i>PRS algorithm process flow.

    <i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

    Published 2023
    Save to List
    Saved in:
  7. 7
    Classification baseline performance.

    Classification baseline performance. by Doaa Sami Khafaga (21463870)

    Published 2025
    Save to List
    Saved in:
  8. 8
    Feature selection results.

    Feature selection results. by Doaa Sami Khafaga (21463870)

    Published 2025
    Save to List
    Saved in:
  9. 9
    ANOVA test result.

    ANOVA test result. by Doaa Sami Khafaga (21463870)

    Published 2025
    Save to List
    Saved in:
  10. 10
    Summary of literature review.

    Summary of literature review. by Doaa Sami Khafaga (21463870)

    Published 2025
    Save to List
    Saved in:
  11. 11
    SHAP bar plot.

    SHAP bar plot. by Meng Cao (105914)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 12
    Display of the web prediction interface.

    Display of the web prediction interface. by Meng Cao (105914)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  13. 13
    Sample screening flowchart.

    Sample screening flowchart. by Meng Cao (105914)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 14
    Descriptive statistics for variables.

    Descriptive statistics for variables. by Meng Cao (105914)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 15
    SHAP summary plot.

    SHAP summary plot. by Meng Cao (105914)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  16. 16
    Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans.

    Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. by Ramsés Noguez Imm (6658637)

    Published 2023
    Save to List
    Saved in:
  17. 17
    Experimental observation of gastruloids and shape quantification using LOCO-EFA.

    Experimental observation of gastruloids and shape quantification using LOCO-EFA. by Martijn A. de Jong (17896732)

    Published 2024
    Save to List
    Saved in:
  18. 18
    Spontaneous ERG-based random forest model discriminates control and disease cases in rodent models of obesity and type 1 diabetes and predicts disease evolution in the type 1 diabetes model.

    Spontaneous ERG-based random forest model discriminates control and disease cases in rodent models of obesity and type 1 diabetes and predicts disease evolution in the type 1 diabe... by Ramsés Noguez Imm (6658637)

    Published 2023
    Save to List
    Saved in:
  19. 19
    UK Biobank data wrangling statistics and results.

    UK Biobank data wrangling statistics and results. by Simeone Marino (81051)

    Published 2020
    Save to List
    Saved in:
  20. 20
    Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png

    Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png by Minjin Guo (22751300)

    Published 2025
    “…</p>Results and Discussion<p>Experimental evaluation across varied athlete cohorts demonstrates superior performance in risk stratification accuracy, diagnostic plausibility, and model transparency compared to traditional screening algorithms. …”
    Save to List
    Saved in:

Search Tools: