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Showing 1 - 16 results of 16 for search '(( library using bayesian optimization algorithm ) OR ( binary based fox optimization algorithm ))', query time: 0.43s Refine Results
  1. 1
    PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks

    PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks by Hubert Rybka (21190469)

    Published 2025
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  2. 2
    PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks

    PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks by Hubert Rybka (21190469)

    Published 2025
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  3. 3
    PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks

    PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks by Hubert Rybka (21190469)

    Published 2025
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  4. 4
    PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks

    PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks by Hubert Rybka (21190469)

    Published 2025
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  5. 5
    PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks

    PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks by Hubert Rybka (21190469)

    Published 2025
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  6. 6
    Results of network meta-analysis.

    Results of network meta-analysis. by Kaiyu Zhang (198799)

    Published 2023
    “…Stata 16.0 software and R4.1.3 software were used to make a Bayesian network meta-analysis and charts.…”
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  7. 7
    Results of network meta-analysis.

    Results of network meta-analysis. by Kaiyu Zhang (198799)

    Published 2023
    “…Stata 16.0 software and R4.1.3 software were used to make a Bayesian network meta-analysis and charts.…”
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  8. 8
    Results of network meta-analysis.

    Results of network meta-analysis. by Kaiyu Zhang (198799)

    Published 2023
    “…Stata 16.0 software and R4.1.3 software were used to make a Bayesian network meta-analysis and charts.…”
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  9. 9
    Results of network meta-analysis.

    Results of network meta-analysis. by Kaiyu Zhang (198799)

    Published 2023
    “…Stata 16.0 software and R4.1.3 software were used to make a Bayesian network meta-analysis and charts.…”
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  10. 10
    Study flowchart.

    Study flowchart. by Kaiyu Zhang (198799)

    Published 2023
    “…Stata 16.0 software and R4.1.3 software were used to make a Bayesian network meta-analysis and charts.…”
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  11. 11
    Risk of bias graph.

    Risk of bias graph. by Kaiyu Zhang (198799)

    Published 2023
    “…Stata 16.0 software and R4.1.3 software were used to make a Bayesian network meta-analysis and charts.…”
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  12. 12
    Results of network meta-analysis.

    Results of network meta-analysis. by Kaiyu Zhang (198799)

    Published 2023
    “…Stata 16.0 software and R4.1.3 software were used to make a Bayesian network meta-analysis and charts.…”
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  13. 13
    Characteristics of included studies.

    Characteristics of included studies. by Kaiyu Zhang (198799)

    Published 2023
    “…Stata 16.0 software and R4.1.3 software were used to make a Bayesian network meta-analysis and charts.…”
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  14. 14
    Diversity and specificity of lipid patterns in basal soil food web resources

    Diversity and specificity of lipid patterns in basal soil food web resources by Jakob Kühn (7288466)

    Published 2019
    “…In marine environments, multivariate optimization models (Quantitative Fatty Acid Signature Analysis) and Bayesian approaches (source-tracking algorithm) were established to predict the proportion of predator diets using lipids as tracers. …”
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  15. 15
    Data Sheet 1_A novel method for power transformer fault diagnosis considering imbalanced data samples.docx

    Data Sheet 1_A novel method for power transformer fault diagnosis considering imbalanced data samples.docx by Jun Chen (4238)

    Published 2025
    “…Hyperparameter tuning is achieved through the Bayesian optimization algorithm to identify the model parameter set that maximizes test set accuracy.…”
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  16. 16
    hIPPYlib: An Extensible Software Framework for Large-scale Inverse Problems

    hIPPYlib: An Extensible Software Framework for Large-scale Inverse Problems by Olalekan A. Babaniyi (767286)

    Published 2019
    “…We present an Inverse Problem PYthon library (hIPPYlib) for solving large-scale deterministic and Bayesian inverse problems governed by partial differential equations (PDEs). hIPPYlib implements state-of-the-art scalable algorithms that exploit the structure of the problem, notably the Hessian of the log posterior. …”
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