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Showing 1 - 15 results of 15 for search '(( binary ai driven optimization algorithm ) OR ( binary risk based optimization algorithm ))', query time: 0.45s Refine Results
  1. 1
    Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses

    Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses by Meichen Liu (8168148)

    Published 2025
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  2. 2
    Calibration curves for the test set of four models.

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

    Published 2025
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  3. 3
    SHAP bar plot.

    SHAP bar plot. by Meng Cao (105914)

    Published 2025
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  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
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  5. 5
    Display of the web prediction interface.

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

    Published 2025
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  6. 6
    Sample screening flowchart.

    Sample screening flowchart. by Meng Cao (105914)

    Published 2025
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  7. 7
    Descriptive statistics for variables.

    Descriptive statistics for variables. by Meng Cao (105914)

    Published 2025
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  8. 8
    SHAP summary plot.

    SHAP summary plot. by Meng Cao (105914)

    Published 2025
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  9. 9
    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
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  10. 10
    <i>hi</i>PRS algorithm process flow.

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

    Published 2023
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  11. 11
    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>Methods<p>To address these challenges, we propose a novel AI-driven framework that incorporates two key methodological innovations: CardioSpectra, a structured sparse inference model, and Risk-Stratified Exertional Embedding (RSEE), a domain-specific representation learning strategy. …”
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  12. 12
    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
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  13. 13
    Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data

    Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data by Fei Xue (24567)

    Published 2021
    “…In this article, we develop a novel angle-based approach to search the optimal DTR under a multicategory treatment framework for survival data. …”
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  14. 14
    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
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  15. 15
    Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat.

    Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. by Enrico Bertozzi (22461709)

    Published 2025
    “…Model evaluation was based on accuracy metrics and qualitative analysis of the confusion matrix.. …”
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