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estimation algorithm » optimization algorithms (Expand Search), maximization algorithm (Expand Search), detection algorithm (Expand Search)
dose optimization » based optimization (Expand Search), model optimization (Expand Search), wolf optimization (Expand Search)
binary state » binary image (Expand Search), binary data (Expand Search)
primary data » primary care (Expand Search)
state dose » same dose (Expand Search), states whose (Expand Search)
data pose » data posted (Expand Search), data phase (Expand Search), data base (Expand Search)
Showing 1 - 6 results of 6 for search '(( binary state dose optimization algorithm ) OR ( primary data pose estimation algorithm ))', query time: 0.43s Refine Results
  1. 1
    Data Sheet 1_Does advancement in marker-less pose-estimation mean more quality research? A systematic review.docx

    Data Sheet 1_Does advancement in marker-less pose-estimation mean more quality research? A systematic review.docx by Shivam Bhola (22106639)

    Published 2025
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  2. 2
    The PS-VAE enables targeted downstream neural analyses of the mouse face video.

    The PS-VAE enables targeted downstream neural analyses of the mouse face video. by Matthew R. Whiteway (11467528)

    Published 2021
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  3. 3
    Data_Sheet_1_A GLM-based zero-inflated generalized Poisson factor model for analyzing microbiome data.pdf

    Data_Sheet_1_A GLM-based zero-inflated generalized Poisson factor model for analyzing microbiome data.pdf by Jinling Chi (18698947)

    Published 2024
    “…The complex characteristics of microbiome data, including high dimensionality, zero inflation, and over-dispersion, pose new statistical challenges for downstream analysis.…”
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  4. 4
    Data_Sheet_2_A GLM-based zero-inflated generalized Poisson factor model for analyzing microbiome data.ZIP

    Data_Sheet_2_A GLM-based zero-inflated generalized Poisson factor model for analyzing microbiome data.ZIP by Jinling Chi (18698947)

    Published 2024
    “…The complex characteristics of microbiome data, including high dimensionality, zero inflation, and over-dispersion, pose new statistical challenges for downstream analysis.…”
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  5. 5
    DataSheet_1_Deep-learning models for image-based gynecological cancer diagnosis: a systematic review and meta- analysis.zip

    DataSheet_1_Deep-learning models for image-based gynecological cancer diagnosis: a systematic review and meta- analysis.zip by Asefa Adimasu Taddese (8602431)

    Published 2024
    “…Two reviewers assessed the articles for eligibility and quality using the QUADAS-2 tool. Data was extracted from each study, and the performance of DL techniques for gynecological cancer classification was estimated by pooling and transforming sensitivity and specificity values using a random-effects model.…”
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  6. 6
    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles

    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

    Published 2025
    “…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…”
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