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Filtering by: Creator Hamner, Rebecca M. Remove constraint Creator: Hamner, Rebecca M. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Identifying a Ranking of Plant Preferences for a Pollinator

    Creator:
    Krishna Kumaran, Sneha
    Abstract:
    Pollinators are an integral part of agriculture and the ecosystem. However, due to changing land use, populations of wild pollinators are decreasing and plant distributions are changing all around the world. To understand how plant-pollinator networks will adapt over time, we would like to understand how pollinators choose flowers to...
    Resource Type:
    Honors College Thesis
    Full Text:
    : ______________________________________________________ Rebecca Hutchinson Pollinators are an integral part of agriculture and the

  • Similarity inheritance : a model of inheritance for declarative visual programming languages

    Creator:
    Djang, Rebecca W. (Rebecca Walpole)
    Abstract:
    Declarative visual programming languages (VPLs), including spreadsheets, make up a large portion of both research and commercial VPLs. Spreadsheets in particular enjoy a wide audience, including end users. Unfortunately, spreadsheets and most other declarative VPLs still suffer from some of the problems that have been solved in other languages, such...
    Resource Type:
    Dissertation
    Full Text:
    Visual Programming Languages An Abstract Of The Dissertation Of Rebecca Djang for the degree of Doctor

  • Machine Learning Techniques to Model Species Interactions and Distributions Under Imperfect Detection

    Creator:
    Seo, Eugene
    Abstract:
    Ecological domains seeking to understand the environment and the behavior of species have received little attention in machine learning (ML), despite the fact that environmental changes have a significant impact on humans as well as ecosystems. Some ecological problems can be formulated similarly to other common ML applications, but there...
    Resource Type:
    Dissertation
    Full Text:
    : Rebecca A. Hutchinson Ecological domains seeking to understand the environment and the behavior of

  • Species Distribution Modeling of Citizen Science Data as A Classification Problem with Class-Conditional Label Noise

    Creator:
    He, Liqiang
    Abstract:
    Species distribution models (SDM), which quantify the correlation between the distribution of a species and environmental factors, are increasingly used to map and monitor animal and plant distributions in the context of awareness of environmental change and its ecological consequence. For perfect data, this is a straightforward classification problem from...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: Rebecca A. Hutchinson Species distribution models (SDM), which quantify the correlation between

  • On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data

    Creator:
    Roth, Mark
    Abstract:
    This paper discusses opportunities for developments in spatial clustering methods to help leverage broad scale community science data for building species distribution models (SDMs). SDMs are critical tools that inform the science and policy needed to mitigate the impacts of climate change on biodiversity. Community science data span spatial and...
    Resource Type:
    Capstone Project

  • Matrix comparison facility

    Creator:
    Balasubramaniam, Bhanurekha
    Abstract:
    When changes are made to programs - to enhance their functionality, to improve performance, to migrate from one language or machine to another, or to convert a serial program to parallel form - there is no easy way to verify that the changes maintain program correctness. Checking the final result...
    Resource Type:
    Capstone Project
    Full Text:
    me. I would like to thank Dr. Rebecca Callison and Dr. Curtis Cook for serving on my committee. I

  • The Development of Computational Methods for Studying Plant-Pathogen Interactions

    Creator:
    Pankow, Rebecca C.
    Abstract:
    Modern technology has enabled the advancement of biological research through the use of powerful machines and computers as well as innovative computer programs. Advances in sequencing technology and software enable us to make de novo assemblies of organism genomes, and the development of specialized computer programs can automate routine but...
    Resource Type:
    Honors College Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Rebecca C. Pankow for

  • 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:
    . Thomas Dietterich and Dr. Rebecca Hutchinson, for inspiring me to take on this project and being in my

  • Improving User Mental Models of XAI Systems with Inclusive Design Approaches

    Creator:
    Hamid, Md Montaser
    Abstract:
    Explainable Artificial Intelligence (XAI) systems aim to improve users’ understanding of AI but rarely consider the inclusivity aspects of XAI. Without inclusive approaches, improving explanations might not work well for everyone. This study investigates leveraging users’ diverse problem-solving styles as an inclusive strategy to fix an XAI prototype, with the...
    Resource Type:
    Masters Thesis
    Full Text:
    Tic-Tac-Toe where M and N represent the dimensions of the gameboard (M ×N) and the goal is to get a

  • Transcribing Solo Piano Performances from Audio to MIDI Using a Neural Network

    Creator:
    Ebert, Victoria
    Abstract:
    Automatic Music Transcription is a growing area of interest in Music Information Retrieval, and recent research has shown promise using onset detection on spectrograms. We propose a deep learning model that takes raw audio as input in order to transcribe a solo piano performance from audio to MIDI without complicated...
    Resource Type:
    Honors College Thesis
    Full Text:
    _____________________________________________________________________ Rebecca Hutchinson, Committee Member, representing School of Electrical Engineering and Computer