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automatic classification » taxonomic classification (Expand Search), accurate classification (Expand Search)
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Showing 1 - 10 results of 10 for search '(( binary image automatic classification algorithm ) OR ( binary b wolf optimization algorithm ))', query time: 0.48s Refine Results
  1. 1
    An example of 2-dimensional non-linearly separable and non-separable data for binary classification.

    An example of 2-dimensional non-linearly separable and non-separable data for binary classification. by Yuji Oyamada (11714754)

    Published 2021
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  2. 2
    The illustration depicts our CQ-CNN architecture for binary image classification.

    The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

    Published 2025
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  3. 3
    Image4_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png

    Image4_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

    Published 2023
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  4. 4
    Image1_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png

    Image1_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

    Published 2023
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  5. 5
    Image2_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png

    Image2_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

    Published 2023
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  6. 6
    Image3_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png

    Image3_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

    Published 2023
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  7. 7
    Visual representation of the combination of feature extraction approaches employed and classification algorithms to identify stomata.

    Visual representation of the combination of feature extraction approaches employed and classification algorithms to identify stomata. by Alexandre H. Aono (11603934)

    Published 2021
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  8. 8
    Mean accuracies of the classifiers trained with image descriptor features for the stomata classification task.

    Mean accuracies of the classifiers trained with image descriptor features for the stomata classification task. by Alexandre H. Aono (11603934)

    Published 2021
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  9. 9
    Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging

    Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging by D. Andrew Brown (6584837)

    Published 2021
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  10. 10
    Supplementary Material for: Utilizing Deep Learning to Identify Electron-Dense Deposits in Renal Biopsy Electron Microscopy Images

    Supplementary Material for: Utilizing Deep Learning to Identify Electron-Dense Deposits in Renal Biopsy Electron Microscopy Images by figshare admin karger (2628495)

    Published 2025
    “…To evaluate the model's classification capability, we created a binary classification model to identify the presence of deposits in EM images. …”
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