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Showing 21 - 40 results of 11,395 for search '(( models using algorithm ) OR ((( element finding algorithm ) OR ( level coding algorithm ))))', query time: 0.64s Refine Results
  1. 21
    The penetrance tables for the 8 DNME models.

    The penetrance tables for the 8 DNME models. by Liyan Sun (760586)

    Published 2024
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  2. 22
    The penetrance tables for the 8 DME models.

    The penetrance tables for the 8 DME models. by Liyan Sun (760586)

    Published 2024
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  3. 23
    Main code.

    Main code. by Jingguo Bi (21439766)

    Published 2025
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  4. 24
    The penetrance tables for the 6 DNME3 models.

    The penetrance tables for the 6 DNME3 models. by Liyan Sun (760586)

    Published 2024
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  5. 25
    ML algorithms used in this study.

    ML algorithms used in this study. by Toheeb Salahudeen (21368040)

    Published 2025
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  6. 26
    Evaluation of pre-treatment models using different machine learning algorithms.

    Evaluation of pre-treatment models using different machine learning algorithms. by Yiran Li (1818355)

    Published 2025
    “…<p>Evaluation of pre-treatment models using different machine learning algorithms.…”
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  7. 27
    Evaluation of post-treatment models using different machine learning algorithms.

    Evaluation of post-treatment models using different machine learning algorithms. by Yiran Li (1818355)

    Published 2025
    “…<p>Evaluation of post-treatment models using different machine learning algorithms.…”
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  8. 28
    The AUC of each model was calculated using 113 ML algorithm.

    The AUC of each model was calculated using 113 ML algorithm. by Xuefen Lin (17785367)

    Published 2025
    “…<p>The AUC of each model was calculated using 113 ML algorithm.</p>…”
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  9. 29
    Notations and definitions used in the algorithm.

    Notations and definitions used in the algorithm. by Nazym Alimbekova (22766158)

    Published 2025
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  10. 30
    Features selection using the Boruta algorithm.

    Features selection using the Boruta algorithm. by Nishat Tasnim Thity (21755858)

    Published 2025
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  11. 31
    Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm.

    Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

    Published 2024
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  12. 32
    Algorithm design of XGBoost Cox model used in 1°P-CARDIAC full model.

    Algorithm design of XGBoost Cox model used in 1°P-CARDIAC full model. by Yekai Zhou (17285873)

    Published 2025
    “…<p>Algorithm design of XGBoost Cox model used in 1°P-CARDIAC full model.…”
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  13. 33
    Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived from the 3-level wavelet transform (WT) at four resolutions. These features were used as inputs for traditional ML algorithms. The left map demonstrates the correlation matrix of 52 features crafted from 4 resolutions of the 3-level WT, which are used as inputs for traditional ML algorithms. The heat map (on the right) is the correlation matrix after feature selection, in which features whose Pearson’s correlation coefficient is higher than 0.8 are considered highly correlated. We keep only one representative feature and remove its highly correlated features.

    Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived... by Quang Dung Dinh (20995766)

    Published 2025
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  14. 34
    Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence"

    Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" by Yifei Gu (9507104)

    Published 2025
    “…<p dir="ltr">This thesis bridges the gap between field observations and the empirical understanding of ecological systems by applying AI models at different spatial scales and hierarchical levels to study ecological complexity. …”
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  15. 35
    Feature selection using Boruta algorithm.

    Feature selection using Boruta algorithm. by Shayla Naznin (13014015)

    Published 2025
    “…Feature selection was performed using the Boruta algorithm and model performance was evaluated by comparing accuracy, precision, recall, F1 score, MCC, Cohen’s Kappa and AUROC.…”
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  16. 36
    a. How various statistical models account for modulation classification performance across the entire dataset.

    a. How various statistical models account for modulation classification performance across the entire dataset. by Chris Scholes (3309477)

    Published 2025
    “…<p>Each model has stimulus conditions plus one or more additional parameters as predictors of <i>c′</i>. …”
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  17. 37
    Algorithms and accuracy of various previous models.

    Algorithms and accuracy of various previous models. by Zhe Li (219258)

    Published 2025
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  18. 38
    Parameters of the SVM algorithm with Gaussian kernel used to generate the predictive model.

    Parameters of the SVM algorithm with Gaussian kernel used to generate the predictive model. by M. Isabel Ramos (20565201)

    Published 2025
    “…<p>Parameters of the SVM algorithm with Gaussian kernel used to generate the predictive model.…”
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  19. 39
    Immune infiltration analysis of the prognostic model in LIHC using multiple algorithms.

    Immune infiltration analysis of the prognostic model in LIHC using multiple algorithms. by Shuang Zheng (768179)

    Published 2025
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  20. 40
    Classification accuracy of different optimization algorithms and prediction models.

    Classification accuracy of different optimization algorithms and prediction models. by Xueying Kou (3940031)

    Published 2024
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