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

"…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. …"

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

"…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. …"

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

"…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. …"

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

"…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …"

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

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Performance confidence intervals. حسب Nicola Lazzarini (3528197)

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

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Input features. حسب Nicola Lazzarini (3528197)

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Most important predictive features. حسب Nicola Lazzarini (3528197)

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Age feature importance. حسب Nicola Lazzarini (3528197)

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

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ROC curves. حسب Nicola Lazzarini (3528197)

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PR curves. حسب Nicola Lazzarini (3528197)

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

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

LSTM model performance. حسب Muhammad Usman Tariq (11022141)

"…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. …"

MLP Model performance. حسب Muhammad Usman Tariq (11022141)

"…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. …"

RNN Model performance. حسب Muhammad Usman Tariq (11022141)

"…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. …"

CNN Model performance. حسب Muhammad Usman Tariq (11022141)

"…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. …"

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