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derived optimization » driven optimization (Expand Search), required optimization (Expand Search), design optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
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binary data » dietary data (Expand Search)
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Showing 61 - 80 results of 371 for search '(( binary data derived optimization algorithm ) OR ( primary data model optimization algorithm ))', query time: 0.74s Refine Results
  1. 61
    Error of ICESat-2 with respect to airborne data.

    Error of ICESat-2 with respect to airborne data. by Qinghua Li (398885)

    Published 2024
    “…In the hybrid model of this paper, the choice was made to use the Densenet architecture of CNN models with LightGBM as the primary model. …”
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  2. 62
    Table_1_Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation.docx

    Table_1_Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation.docx by Jiajin He (13386702)

    Published 2022
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  3. 63
    The prediction error of each model.

    The prediction error of each model. by Hao Yang (328526)

    Published 2025
    “…The model is developed and validated using data from 159 debris flow-prone gullies, integrating deep convolutional, recurrent, and attention-based architectures, with hyperparameters autonomously optimized by IKOA. …”
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  4. 64
    Results for model hyperparameter values.

    Results for model hyperparameter values. by Hao Yang (328526)

    Published 2025
    “…The model is developed and validated using data from 159 debris flow-prone gullies, integrating deep convolutional, recurrent, and attention-based architectures, with hyperparameters autonomously optimized by IKOA. …”
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  5. 65
    Stability analysis of each model.

    Stability analysis of each model. by Hao Yang (328526)

    Published 2025
    “…The model is developed and validated using data from 159 debris flow-prone gullies, integrating deep convolutional, recurrent, and attention-based architectures, with hyperparameters autonomously optimized by IKOA. …”
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  6. 66
    Robustness Analysis of each model.

    Robustness Analysis of each model. by Hao Yang (328526)

    Published 2025
    “…The model is developed and validated using data from 159 debris flow-prone gullies, integrating deep convolutional, recurrent, and attention-based architectures, with hyperparameters autonomously optimized by IKOA. …”
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  7. 67
    The workflow of the proposed model.

    The workflow of the proposed model. by Subathra Gunasekaran (19492680)

    Published 2024
    “…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …”
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  8. 68
    Consort diagram for the study.

    Consort diagram for the study. by Nicola Lazzarini (3528197)

    Published 2022
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  9. 69
    Performance confidence intervals.

    Performance confidence intervals. by Nicola Lazzarini (3528197)

    Published 2022
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  10. 70
    Baseline characteristics of patients in the study cohort.

    Baseline characteristics of patients in the study cohort. by Nicola Lazzarini (3528197)

    Published 2022
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  11. 71
    Input features.

    Input features. by Nicola Lazzarini (3528197)

    Published 2022
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  12. 72
    Most important predictive features.

    Most important predictive features. by Nicola Lazzarini (3528197)

    Published 2022
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  13. 73
    Age feature importance.

    Age feature importance. by Nicola Lazzarini (3528197)

    Published 2022
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  14. 74
    Machine learning vs. clinicians.

    Machine learning vs. clinicians. by Nicola Lazzarini (3528197)

    Published 2022
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  15. 75
    ROC curves.

    ROC curves. by Nicola Lazzarini (3528197)

    Published 2022
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  16. 76
    PR curves.

    PR curves. by Nicola Lazzarini (3528197)

    Published 2022
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  17. 77
    Overview of the cohort definition process.

    Overview of the cohort definition process. by Nicola Lazzarini (3528197)

    Published 2022
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  18. 78
    Multivariable Cox proportional hazard model<sup>b'*'</sup> for the composite outcome among the post-propensity matched COVID-19 infected patients in the Banner Healthcare System between April 5, 2022, and August 1, 2022.

    Multivariable Cox proportional hazard model<sup>b'*'</sup> for the composite outcome among the post-propensity matched COVID-19 infected patients in the Banner Healthcare System be... by Srilekha Sridhara (15374444)

    Published 2023
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  19. 79
    LSTM model performance.

    LSTM model performance. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”
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  20. 80
    MLP Model performance.

    MLP Model performance. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”
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