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bayesian optimization » based optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
primary based » primary case (Expand Search), primary causes (Expand Search), primary care (Expand Search)
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bayesian optimization » based optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
primary based » primary case (Expand Search), primary causes (Expand Search), primary care (Expand Search)
binary mask » binary image (Expand Search)
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1
Models’ performance without optimization.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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RNN performance comparison with/out optimization.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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Proposed method approach.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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LSTM model performance.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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Descriptive statistics.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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CNN-LSTM Model performance.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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MLP Model performance.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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RNN Model performance.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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CNN Model performance.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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Bi-directional LSTM Model performance.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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Supplementary information for Efficient distributed edge computing for dependent delay-sensitive tasks in multi-operator multi-access networks
Published 2024“…We prove that the game has a perfect Bayesian equilibrium (PBE) yielding unique optimal values, and formulate new Bayesian reinforcement learning and Bayesian deep reinforcement learning algorithms enabling each PN to reach the PBE autonomously (without communicating with other PNs).…”
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DataSheet_1_A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn...
Published 2022“…Then we constructed a clinical prediction model which was based on the ML algorithm with the best diagnostic performance. …”
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DataSheet_2_Optimising Treatment Outcomes for Children and Adults Through Rapid Genome Sequencing of Sepsis Pathogens. A Study Protocol for a Prospective, Multi-Centre Trial (DIREC...
Published 2021“…Prompt, appropriate antibiotic therapy is effective in improving outcomes in sepsis. Conventional culture-based methods to identify appropriate therapy have limited yield and take days to complete. …”
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DataSheet_1_Optimising Treatment Outcomes for Children and Adults Through Rapid Genome Sequencing of Sepsis Pathogens. A Study Protocol for a Prospective, Multi-Centre Trial (DIREC...
Published 2021“…Prompt, appropriate antibiotic therapy is effective in improving outcomes in sepsis. Conventional culture-based methods to identify appropriate therapy have limited yield and take days to complete. …”
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Image1_Adverse events related to neuromuscular blocking agents: a disproportionality analysis of the FDA adverse event reporting system.pdf
Published 2024“…A positive signal was generated when both algorithms show an association between the target drug and the AE.…”
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Table1_Adverse events related to neuromuscular blocking agents: a disproportionality analysis of the FDA adverse event reporting system.xlsx
Published 2024“…A positive signal was generated when both algorithms show an association between the target drug and the AE.…”