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    Using In-Situ Statistics and a Spatially-Aware Kernel for Longitudinal Neuroimaging Analysis 

    Coen, Michael (2013-06-13)
    This paper introduces a framework for analyzing longitudinal neuroimaging datasets. We address the problem of detecting subtle, short-term changes in neural structure that are indicative of cognitive decline and correlate ...
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    To Join or Not to Join? Thinking Twice about Joins before Feature Selection 

    Kumar, Arun; Naughton, Jeffrey; Patel, Jignesh M.; Zhu, Xiaojin (2015-11-27)
    Closer integration of machine learning (ML) with data processing is a booming area in both the data management industry and academia. Almost all ML toolkits assume that the input is a single table, but many datasets are ...

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    AuthorCoen, Michael (1)Kumar, Arun (1)Naughton, Jeffrey (1)Patel, Jignesh M. (1)Zhu, Xiaojin (1)Subject
    feature selection (2)
    machine learning (2)
    Advanced analytics (1)Alzheimer's disease (1)feature engineering (1)in situ statistics (1)joins (1)neuroimaging (1)... View MoreDate Issued2013 (1)2015 (1)Has File(s)Yes (2)

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