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Showing 81 - 100 results of 1,984 for search '((((quantification OR quantification) OR classification) OR modifications) OR identifications)', query time: 0.12s Refine Results
  1. 81

    Use of the DISCOVER assessment for identification purposes by Sarouphim, Ketty M.

    Published 2000
    “…Chi-square tests revealed no overall significant gender differences in identification. The findings promote the use of the DISCOVER assessment for identification purposes.…”
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  2. 82

    NSIT: Novel Sequence Identification Tool by Benjarath Pupacdi (635765)

    Published 2014
    “…To our knowledge, NSIT is the first software designed specifically for novel sequence identification in a de novo human genome assembly.</p><h2>Other Information</h2><p dir="ltr">Published in: PLOS ONE<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1371/journal.pone.0108011" rel="noreferrer" target="_blank">https://dx.doi.org/10.1371/journal.pone.0108011</a></p>…”
  3. 83

    Gait recognition for person re-identification by Omar Elharrouss (14150895)

    Published 2022
    “…<p>Person re-identification across multiple cameras is an essential task in computer vision applications, particularly tracking the same person in different scenes. …”
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    AN ALGORITHM FOR IRIS IDENTIFICATION USING FOURIER DESCRIPTORS by Deriche, M.

    Published 2020
    “…In this paper, a new biometric identification approach based on the human iris is proposed. …”
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    article
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    Immunogenomic Classification of Colorectal Cancer and Therapeutic Implications by Jessica Roelands (7516439)

    Published 2017
    “…The molecular characterization of colorectal cancer (CRC) has led to the identification of favorable and unfavorable immunological attributes linked to clinical outcome. …”
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    Improving the Classification of Multiple Disorders with Problem Decomposition by Abdel-Aal, Radwan E.

    Published 2020
    “…Three problem decomposition scenarios are investigated, including class decomposition and two hierarchical approaches based on clinical practice and class separability properties. Two-stage classification schemes based on hierarchical decomposition boost the classification accuracy from 91% for the single-classifier monolithic approach to 99%, matching the theoretical upper limit reported in the literature for the accuracy of classifying the dataset. …”
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    article
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