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Filtering by: Creator Gile, Jay Dean Remove constraint Creator: Gile, Jay Dean Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • A General Framework for Predicting the Geospatial Distribution of Botanical Species

    Creator:
    Chick, Jesse S.
    Abstract:
    The local presence or absence of individual botanical species can be predicted with high accuracy by a simple feed-forward neural network, using only local climate data to make inference. This study proposes a framework for learning these predictive models, demonstrates highly accurate predictions for species with a sufficiently large area...
    Resource Type:
    Honors College Thesis
    Full Text:
    Distribution of Botanical Species Abstract approved: Jay Alder The local presence or absence of individual

  • Computational geometry package with fast Voronoi diagram algorithm

    Creator:
    Nave, Jay
    Abstract:
    An interactive Computational geometry package was developed for the purpose of experimenting with geometry problems in the Euclidean plane. The package also contains computer graphics functions to display the result. Application independent functions were developed that are both flexible and general enough for creating new geometry experiments as well as...
    Resource Type:
    Masters Thesis
    Full Text:
    algorithm AN ABSTRACT OF THE THESIS OF Jay Nave for the degree of Master of Science in Computer Science

  • End-user assertions : propagating their implications

    Creator:
    Summet, Jay W.
    Abstract:
    Spreadsheet languages are the most commonly used end-user programming paradigm, yet spreadsheets commonly contain errors. Research shows that a significant number of spreadsheets (20%-40%) created by end users contain errors. In an attempt to reduce this error rate, this work presents an assertion propagation system for an end-user spreadsheet programming...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Jay W. Summet for the degree of

  • Poisoning machine learning models to increase membership inference risks

    Creator:
    Le, Hoang
    Abstract:
    Deep learning is now being utilized widely in applications where sensitive data is being used for model training, for example, in health care. In this scenario, any data leakage will cause privacy concerns to whose data records are used to train the model. An attacker can actively cause privacy leakage...
    Resource Type:
    Masters Thesis
    Full Text:
    Electrical Engineering and Computer Science Dean of the Graduate School I understand that my thesis will

  • Exploring Story Creation in Script and Graphic Novel Format

    Creator:
    Thai, Aileen A.
    Abstract:
    “Seeker” is a project that explores story creation in both script and graphic novel format. This thesis is broken into two main parts: a modified screenplay accompanied by art and process work. keywords: storytelling, illustration, script, graphic novel
    Resource Type:
    Honors College Thesis
    Full Text:
    _____________________________________________________________________ Toni Doolen, Dean, Oregon State University Honors College I understand that my

  • Comparative Look at Spectator Identification in Films and Video Games

    Creator:
    Reiner, Taylor
    Abstract:
    Often, characters of entertainment works, such as movies, books, or video games, display traits that people find relatable. In certain cases, a spectator of a work will develop such a strong psychological bond with a character that they identify with them. Identification with fictional characters is usually a subconscious act...
    Resource Type:
    Honors College Thesis
    Full Text:
    , representing Honors College Mila Zuo, Committee Member, representing Film Studies Toni Doolen, Dean

  • Comparison of machine learning methods for predicting bird distributions

    Creator:
    Bikkina, Vinay
    Abstract:
    The purpose of this study is to explore kernel machine learning methods for species distribution modeling. Previous studies have shown the success of Generalized Boosted Regression Models, however kernel methods have been unexplored for species distribution modeling. Using the eBird dataset, four machine learning methods were tested for accuracy and...
    Resource Type:
    Honors College Thesis
    Full Text:
    ________________________________________________________________________ Dean, University Honors College I understand that my project will become part of the

  • Resource-Aware Distributed Data Sanitization for Privacy Preserving Machine Learning

    Creator:
    Anand, Yashwanthi
    Abstract:
    When a single object is captured by multiple edge devices, the data captured by every edge device could contain both public and private information. The private information in every copy of the data captured has to be preserved while the public information has to be utilized for any further machine...
    Resource Type:
    Masters Thesis
    Full Text:
    , representing Computer Science Director of the School of Electrical Engineering and Computer Science Dean of

  • Augmenting self-study materials with microcomputer-based lessons: a case study

    Creator:
    Giangrande, Ernest
    Abstract:
    An experiment was conducted at Oregon State University to evaluate the effectiveness of Computer Aided Instruction based lessons in a self study environment. The 47 student subjects were assigned to one of three groups: a CAI-EXP group which used a CAI lesson for teaching introductory FORTRAN formatted input and output;...
    Resource Type:
    Masters Thesis
    Full Text:
    Science Redacted for Privacy Chairman of the Depar'ment of Computer Science Redacted for Privacy Dean

  • Supervised Hierarchical Segmentation for Bird Bioacoustics

    Creator:
    Tjahja, Teresa V.
    Abstract:
    Bioacoustics analysis can be used to conduct environmental monitoring by detecting the presence of birds species. This analysis usually involves identifying the species from their calls. In most frameworks, bird song syllables are extracted from audio recordings and individual syllables are input to a classifier to identify the species. Extraction...
    Resource Type:
    Masters Thesis
    Full Text:
    Computer Science Dean of the Graduate School I understand that my thesis will become part of the