Search Results - "Kiwanuka, Fred"

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  1. 1

    A method of correction for heaping error in the variables using validation data by Ahmad, Amar S., Al-Hassan, Munther, Hussain, Hamid Y., Juber, Nirmin F., Kiwanuka, Fred N., Hag-Ali, Mohammed, Ali, Raghib

    Published in Statistical papers (Berlin, Germany) (01-04-2024)
    “…When self-reported data are used in statistical analysis to estimate the mean and variance, as well as the regression parameters, the estimates tend, in many…”
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    Journal Article
  2. 2

    A state-of-the-art review of machine learning techniques for fraud detection research by Omar, Sinayobye Janvier, Fred, Kiwanuka, Swaib, Kaawaase Kyanda

    “…The area of fraud detection1 has been traditionally correlated with data mining and text mining. Even before the "big data" phenomena started in 2008, text…”
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    Conference Proceeding
  3. 3

    Automatic attribute threshold selection for morphological connected attribute filters by Kiwanuka, Fred N., Wilkinson, Michael H.F.

    Published in Pattern recognition (01-05-2016)
    “…Attribute filters allow enhancement and extraction of features without distorting their borders, and never introduce new image features. In attribute filters,…”
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    Journal Article
  4. 4

    Automatic Attribute Threshold Selection for Blood Vessel Enhancement by Kiwanuka, Fred N, Wilkinson, Michael H F

    “…Attribute filters allow enhancement and extraction of features without distorting their borders, and never introduce new image features. These are highly…”
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    Conference Proceeding
  5. 5

    Identity-of-Things Model using Composite Identity on Permissioned Blockchain Network by Amin, Anang Hudaya Muhamad, Abdelmajid, Nabih, Kiwanuka, Fred N.

    “…The growing prevalence of Internet-of-Things (IoT) technology has led to an increase in the development of heterogeneous smart applications. Smart applications…”
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    Conference Proceeding
  6. 6

    Hybrid Model of Correlation Based Filter Feature Selection and Machine Learning Classifiers Applied on Smart Meter Data Set by Sinayobye, Janvier Omar, Kaawaase, Kyanda Swaib, Kiwanuka, Fred N., Musabe, Richard

    “…Feature selection is referred to the process of obtaining a subset from an original feature set according to certain feature selection criterion, which selects…”
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    Conference Proceeding
  7. 7
  8. 8

    Cluster-based vector-attribute filtering for CT and MRI enhancement by Kiwanuka, F. N., Wilkinson, M. H. F.

    “…Morphological attribute filters modify images based on properties or attributes of connected components. Usually, attribute filtering is based on a scalar…”
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    Conference Proceeding