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    Learning from Code and Non-Code Artifacts 

    Henkel, Jordan (2022-08-17)
    Three things are fundamentally true about software: (i) every day that passes we, as a society, generate more software (more code, more documentation, and more software-related artifacts of all kinds), (ii) it is easier ...
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    CS532 Course Project Activity - Climate Data Fitting and Local Warming Justification 

    Chen, Junda; Zhao, Haoruo; Duan, Doris (2021-09-01)
    The project introduce a simplified model to justify whether global warming is truly an issuein the current society. Student will first intensify their knowledge aboutBasis Matrix– itsconstruction and its application to the ...
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    Feature Significance Analysis of the US Adult Income Dataset 

    Chen, Junda (2021-09-01)
    In this paper, we analyze the classic US Adult Income Dataset using logistics regression and random forest to analyze potential factors that contribute to income bias for the 50Kincome bracket(income ≥ 50K per year). Using ...
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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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    A Survey of the Existing Landscape of ML Systems 

    Kumar, Arun; McCann, Robert; Naughton, Jeffrey; Patel, Jignesh M. (2015-11-27)
    We survey the existing landscape of ML systems to identify gaps that motivate our vision of a unifying abstraction to support the iterative process of model selection and lay a principled foundation for model selection ...
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    Synthesis of Machine Code: Algorithms and Applications 

    Srinivasan, Venkatesh (2017-03-08)
    The analysis of binaries has gotten an increasing amount of attention from the academic community in the last decade. The results of binary analysis have been predominantly used to answer questions about the properties of ...
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    Prioritize Winter Crash Severity Influencing Factors in US Midwestern for Autonomous Vehicle 

    Dai, Shenghong (2020-02-28)
    Adverse weather conditions in winter have significant impacts on crash occurrences and risks. Human drivers can adjust driving styles based on the context information of the surrounding traffic and environments. Similar ...
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    A New Semantic Approach on Yelp Review-star Rating Classification 

    Wu, Shuang; Wang, Xiaodong; Qi, Bozhao (2020-02-26)
    This paper introduces a new semantic approach for yelp review star rating prediction. Our approach extracts feature vectors from user reviews to develop star prediction models. User review text contains detailed information ...
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    Research review on AI and Machine learning related works 

    Zhao, Wei (2021-03)
    In this review, several innovative methods and the associated system were created for agriculture navigation, mapping, object detection, and related vehicles technologies. Based on the experiences with these applications, ...

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    AuthorChen, Junda (2)Kumar, Arun (2)Naughton, Jeffrey (2)Patel, Jignesh M. (2)Coen, Michael (1)Dai, Shenghong (1)Duan, Doris (1)Henkel, Jordan (1)McCann, Robert (1)Qi, Bozhao (1)... View MoreSubject
    machine learning (10)
    feature engineering (3)Advanced analytics (2)big data (2)feature selection (2)algorithms review (1)Alzheimer's disease (1)autonomous vehicles (1)climate change (1)code understanding (1)... View MoreDate Issued2021 (3)2015 (2)2020 (2)2013 (1)2017 (1)2022 (1)Has File(s)Yes (10)

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