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Showing 21 - 40 results of 162 for search '(( less based selective optimization algorithm ) OR ( binary based ap optimization algorithm ))', query time: 0.52s Refine Results
  1. 21
    Composition of the Arboviruses data sets.

    Composition of the Arboviruses data sets. by Leonides Medeiros Neto (10429179)

    Published 2023
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  2. 22
    Samples of Dengue, Chikungunya and Inconclusive converted by the DeepInsight.

    Samples of Dengue, Chikungunya and Inconclusive converted by the DeepInsight. by Leonides Medeiros Neto (10429179)

    Published 2023
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  3. 23
    Example of a summary table.

    Example of a summary table. by Leonides Medeiros Neto (10429179)

    Published 2023
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  4. 24
    Results of the Tuned DeepInsight-CNN and the model proposed by Neto et al. [9], for the Dengue/Chikungunya data set.

    Results of the Tuned DeepInsight-CNN and the model proposed by Neto et al. [9], for the Dengue/Chikungunya data set. by Leonides Medeiros Neto (10429179)

    Published 2023
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  5. 25
    Parameter of the DeepInsight converter for the Arboviruses data sets.

    Parameter of the DeepInsight converter for the Arboviruses data sets. by Leonides Medeiros Neto (10429179)

    Published 2023
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  6. 26
    An example of a 5x5 Feature Density Matrix.

    An example of a 5x5 Feature Density Matrix. by Leonides Medeiros Neto (10429179)

    Published 2023
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  7. 27
    Parameter configuration of the IGTD converter for the Arboviruses data sets.

    Parameter configuration of the IGTD converter for the Arboviruses data sets. by Leonides Medeiros Neto (10429179)

    Published 2023
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  8. 28
    Samples of Dengue, Chukungunya, and Inconclusive cases, respectively, converted by the REFINED.

    Samples of Dengue, Chukungunya, and Inconclusive cases, respectively, converted by the REFINED. by Leonides Medeiros Neto (10429179)

    Published 2023
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  9. 29
    Samples of Dengue, Chukungunya and Inconclusive converted by the IGTD.

    Samples of Dengue, Chukungunya and Inconclusive converted by the IGTD. by Leonides Medeiros Neto (10429179)

    Published 2023
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  10. 30
    Results of the Basic CNN models and the model proposed by Neto et al. [9] for the Dengue/Chikungunya data set.

    Results of the Basic CNN models and the model proposed by Neto et al. [9] for the Dengue/Chikungunya data set. by Leonides Medeiros Neto (10429179)

    Published 2023
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  11. 31
    Experiment methodology.

    Experiment methodology. by Leonides Medeiros Neto (10429179)

    Published 2023
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  12. 32
    Example of distance matrices generated by the IGTD in the process of conversion.

    Example of distance matrices generated by the IGTD in the process of conversion. by Leonides Medeiros Neto (10429179)

    Published 2023
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  13. 33
    Hyperparameter configuration of the best model returned by the random search, for each Arbovirus data set.

    Hyperparameter configuration of the best model returned by the random search, for each Arbovirus data set. by Leonides Medeiros Neto (10429179)

    Published 2023
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  14. 34
    Image size vs feature overlap.

    Image size vs feature overlap. by Leonides Medeiros Neto (10429179)

    Published 2023
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  15. 35
    Results of the Basic CNN models and the XGBoost proposed by Neto et al. [9] for the Arboviruses/Inconclusive data set.

    Results of the Basic CNN models and the XGBoost proposed by Neto et al. [9] for the Arboviruses/Inconclusive data set. by Leonides Medeiros Neto (10429179)

    Published 2023
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  16. 36
    The process of conversion of the DeepInsight.

    The process of conversion of the DeepInsight. by Leonides Medeiros Neto (10429179)

    Published 2023
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  17. 37
    The CQA process.

    The CQA process. by Leonides Medeiros Neto (10429179)

    Published 2023
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  18. 38
    Results of the Tuned DeepInsight-CNN and the model proposed by Neto et al. [9], for the Arboviruses/Inconclusive data set.

    Results of the Tuned DeepInsight-CNN and the model proposed by Neto et al. [9], for the Arboviruses/Inconclusive data set. by Leonides Medeiros Neto (10429179)

    Published 2023
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  19. 39
    Parameter space exploration in comparison to exploitation for the selection of samples during Bayesian Optimization.

    Parameter space exploration in comparison to exploitation for the selection of samples during Bayesian Optimization. by John E. Fleming (8533956)

    Published 2023
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  20. 40
    , MSE, and MAE of the optimised algorithms.

    , MSE, and MAE of the optimised algorithms. by Itxasne Antúnez Sáenz (22794696)

    Published 2025
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