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Filtering by: Creator Aiken, Karl A. Remove constraint Creator: Aiken, Karl A. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Snitch : a flexible student program plagiarism detector

    Creator:
    Schricker, Theodor Karl, Jr.
    Abstract:
    In most technical fields, a certain amount of practical application is necessary to master the important concepts and acquire basic problem solving skills. Computer science is no different, and this is reflected in the frequent programming assignments given in programming and data structures courses. The basic skills and concepts gained...
    Resource Type:
    Capstone Project
    Full Text:
    Theodor Karl Schricker, Jr. A Research Paper submitted to Oregon State University in partial

  • Design and Application of Variational Representations

    Creator:
    Smeltzer, Karl J.
    Abstract:
    Variability is an important and widely studied topic across domains such as version control, software product lines, and metaprogramming. This dissertation presents an investigation into the process of systematically adding variability to data structures and programs, leading to guidelines for variational data structures and implications for programs that create, manipulate,...
    Resource Type:
    Dissertation
    Full Text:
    Representations by Karl Smeltzer A DISSERTATION submitted to Oregon State University in partial fulfillment

  • Visual Analysis of Attorney Case Portfolios Over Time

    Creator:
    Nambirajan, Surendar
    Abstract:
    While individual portfolio diversity analysis is a well-studied problem in visualization, the visual analysis of individual or groups of portfolios, over time, has received little attention. Such analysis, however, is important to researchers who are interested in better understanding portfolio management behavior of experts as well as novices. We conducted...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: ______________________________________________________ Ronald A. Metoyer

  • A Comparative Study on How SVN and Git Affect Software Changes

    Creator:
    Codoban, Mihai
    Abstract:
    Distributed Version Control Systems (DVCS) have seen an increase in popularity relative to traditional Centralized Version Control Systems (CVCS). Yet we know little on whether VCS tools meet the needs of software developers when managing software change or whether developers are benefitting from the extra power of DVCS. Without such...
    Resource Type:
    Masters Thesis
    Full Text:
    Master of Science in Computer Science presented on June 17, 2015. Title: A Comparative Study on How SVN

  • Studying electricity feedback for the home with an emphasis on the user

    Creator:
    Hunter, Josie Elizabeth
    Abstract:
    As non-renewable resources dwindle and costs increase, it becomes ever more important for people to understand and control their electricity usage. Eco-feedback devices are being developed to increase user awareness and reduce consumption. In order for feedback devices to be successfully adopted into the home, however, they must be appealing...
    Resource Type:
    Masters Thesis
    Full Text:
    between them. 3 2 Designing Visual Feedback for the Home: A Field Study Ronald A. Metoyer, Karl

  • LacEDAemon : a programming environment for the multiparadigm language leda

    Creator:
    Pandey, Rajeev K.
    Abstract:
    Multiparadigm programming languages are a recent development in the realm of programming languages. A multiparadigm programming language allows the use of multiple, differing programming paradigms without departing from a single, unified linguistic framework. Multiparadigm programming languages are claimed to have benefits to both pedagogy and complex application creation. The beneficial...
    Resource Type:
    Dissertation
    Full Text:
    Doctor of Philosophy in Computer Science presented on August 28, 1998. Title: LacEDAemon: A Programming

  • Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

    Creator:
    Yao, Yao
    Abstract:
    We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
    Resource Type:
    Dissertation
    Full Text:
    Ramsey We describe a series of novel computational models, CERENKOV (Computational Elu- cidation of the

  • Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

    Creator:
    Wei, Qi
    Abstract:
    Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
    Resource Type:
    Dissertation
    Full Text:
    Assessment Abstract approved: Stephen A. Ramsey Ph.D. candidate Qi Wei’s thesis consists of two projects

  • How well do professional developers test with code coverage visualizations? : an empirical study

    Creator:
    Lawrance, Joseph A.
    Abstract:
    Professional software developers do not test code adequately, even though testing tools are widely available. Until developers realize the deficiencies in their tests, inadequate testing of software seems likely to remain a major problem. To support developers writing tests, industry and researchers have proposed systems that visualize “testedness” for end-user...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Joseph A. Lawrance for the degree of

  • Monte Carlo Tree Search with Fixed and Adaptive Abstractions

    Creator:
    Hostetler, Jesse A.
    Abstract:
    Monte Carlo tree search (MCTS) is a class of online planning algorithms for Markov decision processes (MDPs) and related models that has found success in challenging applications. In the online planning approach, the agent makes a decision in the current state by performing a limited forward search over possible futures...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Jesse A. Hostetler for