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Showing 1 - 20 results of 10,737 for search '(( algorithm from function ) OR ((( algorithm within function ) OR ( algorithm loss function ))))', query time: 0.43s Refine Results
  1. 1
    APSO–CNN and FNN algorithms’ loss function training sets.

    APSO–CNN and FNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

    Published 2022
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  2. 2
    APSO–CNN and FNN algorithms’ loss function validation sets.

    APSO–CNN and FNN algorithms’ loss function validation sets. by Ahmed Bahaa (12887063)

    Published 2022
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  3. 3
    APSO–WOA–CNN and FNN algorithms’ loss function validation sets.

    APSO–WOA–CNN and FNN algorithms’ loss function validation sets. by Ahmed Bahaa (12887063)

    Published 2022
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  4. 4
    APSO–WOA–CNN and FNN algorithms’ loss function training sets.

    APSO–WOA–CNN and FNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

    Published 2022
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  5. 5
    APSO–WOA–CNN and APSO–CNN algorithms’ loss function validation sets.

    APSO–WOA–CNN and APSO–CNN algorithms’ loss function validation sets. by Ahmed Bahaa (12887063)

    Published 2022
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  6. 6
    APSO–WOA–CNN and APSO–CNN algorithms’ loss function training sets.

    APSO–WOA–CNN and APSO–CNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

    Published 2022
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  7. 7
    An Adapted Loss Function for Censored Quantile Regression

    An Adapted Loss Function for Censored Quantile Regression by Mickaël De Backer (5166839)

    Published 2019
    “…For practical minimization of the studied loss function, we also provide a simple algorithmic procedure shown to yield satisfactory results for the proposed estimator with respect to the existing literature in an extensive simulation study. …”
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  8. 8
    GD and soft loss function (Loss<sub>S</sub>) parameters are optimized through the hyperparameter tuning process within their search spaces.

    GD and soft loss function (Loss<sub>S</sub>) parameters are optimized through the hyperparameter tuning process within their search spaces. by Burcu Ozek (16949357)

    Published 2024
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  9. 9
    Loss function and accuracy curve comparison.

    Loss function and accuracy curve comparison. by Dayu Zhang (710629)

    Published 2025
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  10. 10
    Loss Function Comparison.

    Loss Function Comparison. by Hongwei Yue (574068)

    Published 2025
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  11. 11
    Loss Function Comparison.

    Loss Function Comparison. by Hongwei Yue (574068)

    Published 2025
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  12. 12
    The APSO-CNN algorithm flowchart.

    The APSO-CNN algorithm flowchart. by Ahmed Bahaa (12887063)

    Published 2022
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  13. 13
    Comparison of details of different algorithms.

    Comparison of details of different algorithms. by Hao Wu (65943)

    Published 2024
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  14. 14
    Structure of the LMPEC algorithm model.

    Structure of the LMPEC algorithm model. by Hao Wu (65943)

    Published 2024
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  15. 15
    Algorithm operation steps.

    Algorithm operation steps. by Junyan Wang (4738518)

    Published 2025
    “…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”
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  16. 16
    Evaluation index performance among algorithms.

    Evaluation index performance among algorithms. by Ahmed Bahaa (12887063)

    Published 2022
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  17. 17
    The APSO-WOA-CNN algorithm flowchart.

    The APSO-WOA-CNN algorithm flowchart. by Ahmed Bahaa (12887063)

    Published 2022
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  18. 18
    Acc epoch loss curve of IPCA algorithm.

    Acc epoch loss curve of IPCA algorithm. by Lu Lin (201289)

    Published 2025
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  19. 19
    Automated correction of fluorescence bleedthrough in the larval eye.

    Automated correction of fluorescence bleedthrough in the larval eye. by Sebastian M. Bernasek (8525829)

    Published 2020
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  20. 20
    Fly-QMA: Automated analysis of mosaic imaginal discs in <i>Drosophila</i>

    Fly-QMA: Automated analysis of mosaic imaginal discs in <i>Drosophila</i> by Sebastian M. Bernasek (8525829)

    Published 2020
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