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    NSF Workshop on Emerging Research Opportunities at the Intersection of Statistics and Internet Measurement Final Report 

    Barford, Paul; Ng, Tony (2023-11-30)
    The Workshop on Emerging Research Opportunities at the Intersection of Statistics and Internet Measurement was held in January 2023 at Boston University. The goal of the workshop was to bring together Internet measurement ...
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    Compositional, Monotone, and Non-linear Program Analysis 

    Cyphert, John (2024)
    The presence of bugs in deployed software can lead to great economic and or human cost. One strategy for mitigating these losses is to prove the functional correctness of programs---or sometimes aspects of a program's ...
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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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    Explore Optimal Degree of Parallelism for Distributed XGBoost Training 

    Chen, Junda; Akash, Aditya Kumar; Suzuki, Yukiko (2021-09-01)
    The XGBoost has been an extremely popular and effective machine learning method which gained its fame throughwinning multiple Kaggle competitions. One of its strengths lies in parallel processing which makes the ...
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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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    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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    Project Report for Image Quilting Reproduction 

    Qi, Bozhao (2021-01)
    The demand for high-quality images has been greater in computer graphics and computer vision. Image-based rendering is playing bigger roles in video games, for instance. Rather than creating the whole physical world from ...

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    AuthorChen, Junda (3)Qi, Bozhao (2)Akash, Aditya Kumar (1)Barford, Paul (1)Cyphert, John (1)Dai, Shenghong (1)Duan, Doris (1)Henkel, Jordan (1)Ng, Tony (1)Suzuki, Yukiko (1)... View MoreSubjectmachine learning (6)big data (2)algorithms review (1)autonomous vehicles (1)Big DataSystem (1)climate change (1)code understanding (1)crash severity (1)data analysis (1)data collection (1)... View MoreDate Issued2021 (5)2020 (2)2022 (1)2023 (1)2024 (1)Has File(s)Yes (10)

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