Search Constraints

Start Over
Filtering by: Creator Burton, Julia I. Remove constraint Creator: Burton, Julia I. Decade 2020-2029 Remove constraint Decade: 2020-2029 Degree Field Computer Science Remove constraint Degree Field: Computer Science

Search Results

  • 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:
    Electrical Engineering and Computer Science Julia Jones, Committee Member, representing Earth, Ocean, and

  • Collaborative Online Learning For Join Processing

    Creator:
    Xie, Mian
    Abstract:
    Relational binary operators, such as join, are arguably the most costly and frequently used operations in relational data systems. In many join algorithms, the majority of the process time is spent on scanning and attempting to join the parts of the relations that do not satisfy the join condition and...
    Resource Type:
    Capstone Project
    Full Text:
    technology in my major. I would like to thank my collaborators Rashmi Jadhav and Michael Burton since I

  • Learning to Estimate Multi-Relation Aggregation Functions

    Creator:
    Jadhav, Rashmi Suresh
    Abstract:
    Multi-relation aggregation queries process the join operator before computing the aggregation function. This join is arguably the most costly operation since traditional join algorithms spend majority of their time trying to join the parts of the relations that do not generate any output tuples. This causes slow response times with...
    Resource Type:
    Masters Thesis
    Full Text:
    interesting. I would like to thank my collaborators Mian Xie and Michael Burton since I truly liked working

  • 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
    Full Text:
    50% in 2018. We identify several usage patterns including: (i) 36% of the projects use multiple ML

  • Designing Diversity and Inclusion Processes and Tools for Sustainable Open Source

    Creator:
    Guizani, Mariam
    Abstract:
    Over time, Open Source Software (OSS) has become indispensable in the creation and upkeep of software products, serving as the fundamental building block for widely used solutions in our daily lives, including applications that enable communication, entertainment, and productivity. A sustainable OSS ecosystem is one that attracts and retains a...
    Resource Type:
    Dissertation
    Full Text:
    domains, Open Source itself is challenged in terms of the Diversity and Inclusion (D&I) of its community

  • Theory and Implementation of a Variational Database Management System

    Creator:
    Ataei, Parisa S.
    Abstract:
    In this thesis, I present the variational database management system, a formal framework and its implementation for representing variation in relational databases and managing variational information needs. A variational database is intended to support any kind of variation in a database. Specific kinds of variation in databases have already been...
    Resource Type:
    Dissertation
    Full Text:
    , I present the variational database management system, a formal framework and its implementation for

  • Investigating the Effects of Design Quality in OSS Projects

    Creator:
    Mannan, Umme Ayda
    Abstract:
    Software systems are becoming an essential part of the lives of both individuals and organizations, and as a consequence, these systems are getting bigger and more complex. Because of this, the tasks of maintaining the quality in these complex software systems are becoming increasingly difficult. Furthermore, these systems are subject...
    Resource Type:
    Dissertation
    Full Text:
    design quality, and what effect they have on the design quality. Our results show that: I) Regardless of

  • Modelling Gas Adsorption inside Metal-Organic Frameworks using a Grand-Canonical Monte Carlo Algorithm

    Creator:
    York, Arthur H.
    Abstract:
    Metal-organic frameworks are promising novel materials for gas storage and separations because of their extremely high internal surface area and their modular structures based on metal nodes and organic linker molecules. Due to their modular design, it is possible to finely tune a structure for optimal storage of a specific...
    Resource Type:
    Honors College Thesis
    Full Text:
    University Honors College I understand that my project will become part of the permanent collection of

  • Characterizing Server Compromise: Resilience Models, Instantiations, and Impossibilities

    Creator:
    McQuoid, Ian M.
    Abstract:
    One of the pervasive problems arising in our modern, digital world surrounds data breaches where an adversary, through zero-day exploitations, phishing, or old-fashioned social engineering attacks, gains access to a service’s data stores. Our society increasingly relies on these cloud-based services for everything from our taxes to personal communication. As...
    Resource Type:
    Dissertation
    Full Text:
    School I understand that my dissertation will become part of the permanent collection of Oregon State

  • Individual Fairness Optimization in Machine Learning with Minimax Loss and an Abstain Option

    Creator:
    Behnoudfar, Ali
    Abstract:
    In this thesis, a new learning algorithm is introduced that is targeted towards individual fairness. In order to be individually fair, mispredictions need to be avoided as each such prediction means the learning algorithm was unfair towards some individual. Therefore, achieving individual fairness implies having a perfect classifier, which is...
    Resource Type:
    Masters Thesis
    Full Text:
    Graduate School I understand that my thesis will become part of the permanent collection of Oregon State