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robust optimization » process optimization (Expand Search), robust estimation (Expand Search), joint optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
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Showing 61 - 80 results of 302 for search '(( primary data model optimization algorithm ) OR ( binary basic robust optimization algorithm ))*', query time: 0.62s Refine Results
  1. 61
    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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  2. 62
    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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  3. 63
    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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  4. 64
    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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  5. 65
    Consort diagram for the study.

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

    Published 2022
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  6. 66
    Performance confidence intervals.

    Performance confidence intervals. by Nicola Lazzarini (3528197)

    Published 2022
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  7. 67
    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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  8. 68
    Input features.

    Input features. by Nicola Lazzarini (3528197)

    Published 2022
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  9. 69
    Most important predictive features.

    Most important predictive features. by Nicola Lazzarini (3528197)

    Published 2022
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  10. 70
    Age feature importance.

    Age feature importance. by Nicola Lazzarini (3528197)

    Published 2022
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  11. 71
    Machine learning vs. clinicians.

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

    Published 2022
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  12. 72
    ROC curves.

    ROC curves. by Nicola Lazzarini (3528197)

    Published 2022
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  13. 73
    PR curves.

    PR curves. by Nicola Lazzarini (3528197)

    Published 2022
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  14. 74
    Overview of the cohort definition process.

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

    Published 2022
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  15. 75
    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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  16. 76
    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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  17. 77
    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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  18. 78
    RNN Model performance.

    RNN 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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  19. 79
    CNN Model performance.

    CNN 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
    Data_Sheet_1_Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis.pdf

    Data_Sheet_1_Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis.pdf by Mikhail Ya Yadgarov (18543769)

    Published 2024
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