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design optimization » bayesian optimization (Expand Search)
pose detection » case detection (Expand Search), based detection (Expand Search), false detection (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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arm design » a design (Expand Search), app design (Expand Search), array design (Expand Search)
data pose » data posted (Expand Search), data phase (Expand Search), data base (Expand Search)
Showing 1 - 5 results of 5 for search '(( binary data pose detection algorithm ) OR ( binary arm design optimization algorithm ))', query time: 0.42s Refine Results
  1. 1
    Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level

    Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level by Giovanni Nattino (561797)

    Published 2021
    “…Propensity score matching is a popular method to infer causal relationships in observational studies with two treatment arms. Few studies, however, have used matching designs with more than two groups, due to the complexity of matching algorithms. …”
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  2. 2
    Analysis and design of algorithms for the manufacturing process of integrated circuits

    Analysis and design of algorithms for the manufacturing process of integrated circuits by Sonia Fleytas (16856403)

    Published 2023
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  3. 3
    Experimental setup and trajectory estimation methodology.

    Experimental setup and trajectory estimation methodology. by Nouman Javed (16624785)

    Published 2023
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  4. 4
    GSE96058 information.

    GSE96058 information. by Sepideh Zununi Vahed (9861298)

    Published 2024
    “…</p><p>Results</p><p>In this study, five main steps were followed for the analysis of mRNA expression data: reading, preprocessing, feature selection, classification, and SHAP algorithm. …”
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  5. 5
    The performance of classifiers.

    The performance of classifiers. by Sepideh Zununi Vahed (9861298)

    Published 2024
    “…</p><p>Results</p><p>In this study, five main steps were followed for the analysis of mRNA expression data: reading, preprocessing, feature selection, classification, and SHAP algorithm. …”
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