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Filtering by: Creator Anh Tuan Nguyen Remove constraint Creator: Anh Tuan Nguyen Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Interactive visualization of diversity in multivariate data sets unified across fields of study

    Creator:
    Pham, Tuan N. T.
    Abstract:
    The study of the diversity of multivariate objects shares common characteristics across disciplines, including ecology and organizational management. Nevertheless, experts in these two disciplines have adopted somewhat separate diversity concepts and analysis techniques, limiting the ability of potentially sharing and cross comparing these concerns. Moreover, while complex diversity data may...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Tuan N.T. Pham for the

  • Multiple Instance Multiple Label Learning with Limited Supervision

    Creator:
    Nguyen, Tam
    Abstract:
    In weak supervision learning, label information can be provided at different levels of granularity. For example, in multi-instance multi-label learning, samples are organized into bags and labels for each class are provided at the bag level. For small datasets, this approach offers means of reducing the labeling efforts. However, in...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Tam Nguyen for the

  • Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

    Creator:
    Vu, Trung
    Abstract:
    Iterative algorithms are simple yet efficient in solving large-scale optimization problems in practice. With a surge in the amount of data in past decades, these methods have become increasingly important in many application areas including matrix/tensor recovery, deep learning, data mining, and reinforcement learning. To optimize or improve iterative algorithms,...
    Resource Type:
    Dissertation
    Full Text:
    include Anh Pham, Evgenia Chunikhina, Zeyu You, Tam Nguyen, Phung Lai, Alan Campbell, Hector Dominguez

  • Understanding Software-2.0: A Study of Machine Learning library usage and evolution

    Creator:
    Dilhara, Malinda, Ketkar, Ameya, and Dig, Danny
    Abstract:
    Enabled by a rich ecosystem of Machine Learning (ML) libraries, programming using learned models, i.e., Software-2.0, has gained substantial adoption. However, we do not know what challenges developers encounter when they use ML libraries. With this knowledge gap, researchers miss opportunities to contribute to new research directions, tool builders do...
    Resource Type:
    Research Paper

  • Version Control Systems: An Information Foraging Perspective

    Creator:
    Srinivasa Ragavan, Sruti
    Abstract:
    Software history and version control systems (VCS) are an important source of information for developers. This entails the need for a principled understanding of developers’ information seeking in VCS, both for improving existing tools as well as understanding requirements for new tools. However, it is only recently that researchers have...
    Resource Type:
    Masters Thesis

  • How do Programmers Forage through Variants? Modeling Hierarchical Foraging and Changelogs

    Creator:
    Pandya, Bhargav Chandravadan
    Abstract:
    Complex information environments are often organized as hierarchies. However, computational models of Information Foraging Theory (IFT) have almost entirely ignored this fact. Models and tools for predicting programmer navigations have ignored people’s foraging behavior across hierarchies —called hierarchical foraging. Without modeling hierarchical foraging, our ability to build tools to support...
    Resource Type:
    Masters Thesis

  • Towards Automating Type Changes

    Creator:
    Ketkar, Ameya S.
    Abstract:
    Developers frequently change the type of a program element and update all its references for performance, security, concurrency, library migration, or better maintainability. Despite type changes being a common program transformation, it is the least automated and the least studied. Manually performing type changes is tedious since the programmers have...
    Resource Type:
    Dissertation

  • Understanding Software Development and Testing Practices

    Creator:
    Hilton, Michael
    Abstract:
    A bad software development process leads to wasted effort and inferior products. In order to improve a software process, it must be first understood. In this work I focus on understanding software processes. The first process we seek to understand is Continuous Integration (CI). CI systems automate the compilation, building,...
    Resource Type:
    Dissertation
    Full Text:
    the lessons I learned while working on other projects with Tien N Nguyen, Jonathan Aldrich, Matthew

  • Source-Routed Multicast Schemes for Large-Scale Cloud Data Center Networks

    Creator:
    Alqahtani, Jarallah Ali m
    Abstract:
    Data centers (DCs) have been witnessing unprecedented growth in size, number and complexity in recent years. They consist of tens of thousands of servers interconnected by fast network switches, hosting and enabling numerous applications with various traffic characteristics and requirements. As a result, DC networks have been presented with several...
    Resource Type:
    Dissertation

  • Corporate involvement in FOSS projects : an in-depth look at corporate contributions and implications for project governance

    Creator:
    Forrest, Darren J.
    Abstract:
    Free / Open Source Software developers come from a myriad of different backgrounds. While some contribute for personal reasons, many become involved because they receive compensation from corporations or foundations. The motivation for participating in a project can have dramatic impacts on how and what contribution an individual makes. These...
    Resource Type:
    Masters Thesis
    Full Text:
    compensated for FOSS development. Jensen found this to be especially true of core developers [11]. Nguyen et