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  • Hearing Inequality: A Sonification of the Gender Disparity in Computer Science and Engineering

    Creator:
    Cohen, Elyse
    Abstract:
    Sonification, or the “technique of rendering sound in response to data and interactions” [1], is an alternative to visual graphs and has the potential to make data more interpretable and accessible. As a combination of the arts (music) and the sciences (data), sonification is an interdisciplinary tool for connecting people...
    Resource Type:
    Honors College Thesis
    Full Text:
    Hearing Inequality: A Sonification of the

  • Type-correct changes — a safe approach to version control implementation

    Creator:
    Dagit, Jason
    Abstract:
    Ensuring correctness of real-world software applications is a challenging task. Testing can be used to find many bugs, but is typically not sufficient for proving correctness or even eliminating entire classes of bugs. However, formal proof and verification techniques tend to be very heavy weight and are simply not available...
    Resource Type:
    Masters Thesis
    Full Text:
    Rights Reserved Type-Correct Changes — A Safe Approach to Version Control Implementation by Jason

  • Automatically Generating Solutions for Sokoban Maps

    Creator:
    Greco, Jason Aaron
    Abstract:
    Generating solutions to Sokoban levels is an NP-hard problem that is difficult for even modern day computers to solve due to its complexity. This project explores the creation of a Sokoban solver by eliminating as many potential moves as possible to greatly limit the overall search space. This reduction is...
    Resource Type:
    Honors College Thesis
    Full Text:
    by Jason Aaron Greco A PROJECT submitted to Oregon State University University

  • High-performance data-parallel input/output

    Creator:
    Moore, Jason Andrew
    Abstract:
    Existing parallel file systems are proving inadequate in two important arenas: programmability and performance. Both of these inadequacies can largely be traced to the fact that nearly all parallel file systems evolved from Unix and rely on a Unix-oriented, single-stream, block-at-a-time approach to file I/O. This one-size-fits-all approach to parallel...
    Resource Type:
    Dissertation
    Full Text:
    THE THESIS OF Jason A. Moore for the degree of Doctor of Philosophy in Computer Science presented

  • Staying Consistent: Discipline-Specific Language Used in Introductory CS Curricula

    Creator:
    Weber, Jason
    Abstract:
    The understanding of Discipline-Specific Language is an important competency for students of any field to begin mastering early in their studies, since it serves as a prerequisite for both the analysis of expert text and precise communication. Therefore, an introductory curriculum should pay careful attention to how it incorporates, defines,...
    Resource Type:
    Masters Thesis
    Full Text:
    Jason Weber A THESIS submitted to Oregon State University in partial fulfillment of the

  • A Comparison and Analysis of Selected Holidays in Kyrgyzstan, Russia, and the United States

    Creator:
    Matyeva, Alima
    Abstract:
    Through comparison and analysis of selected holidays in countries with significantly different features (Kyrgyzstan, Russia, and the United States), this study aims to gauge the impact of holiday celebrations in influencing cultural values in those countries studied. K. Zygulski’s classification system for holidays was applied to divide the holidays of...
    Resource Type:
    Honors College Thesis
    Full Text:
    Thesis Final Version 1 A Comparison and Analysis of Selected Holidays in

  • Exploitation and Mitigation of CPU Vulnerabilities

    Creator:
    Mestas, Phillip O., III
    Abstract:
    AMD SEV allows for the creation of fully encrypted virtual machines. This allows cloud computing tenants’ data to be secret to the cloud computing provider. However, it has been shown that the encryption scheme used by AMD can easily be broken. The attacker can create a copy of the virtual...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Phillip O. Mestas III for the

  • Comparing Chemical Kinetic Model Reduction Techniques Using pyMARS

    Creator:
    Mestas, Phillip O., III
    Abstract:
    Accurately modeling the chemistry of conventional and alternative liquid transportation fuels in combustion technology is vital to predicting important quantities such as the burning rate, heat release, and pollutant emissions. However, incorporating detailed chemical kinetic models into reactive-flow simulations poses a significant challenge due to the associated high computational expense...
    Resource Type:
    Honors College Thesis
    Full Text:
    Using pyMARS By Phillip O Mestas III A THESIS submitted to Oregon State University University

  • Topics in toroidal interconnection networks

    Creator:
    Broeg, Robert Richard
    Resource Type:
    Dissertation
    Full Text:
    approved. Bella Bose A multicomputer is a machine having multiple processing elements that com­

  • The ChildsPlay Approach: Evaluating an Experimental Approach for Teaching Introductory CS at University

    Creator:
    Nelson, Aiden J.
    Abstract:
    University students first learning about computer science (CS) can be intimidated and frustrated by programming. In addition, the general-purpose programming languages chosen for introducing students to programming contain several features that have the potential to overwhelm and distract them from focused curriculum topics, which can lead to reduced retention of...
    Resource Type:
    Masters Thesis
    Full Text:
    student comprehension of fundamental CS concepts. We hypothesize that a more successful introductory CS

  • 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

  • Interactive football playbook

    Creator:
    Neumann, Christoph
    Abstract:
    This thesis presents a domain specific visual language designed to allow coaches to create content that exhibits the complex 2D interactions observed in the game of American football. Coaches can visually program the content by using symbols and drawing primitives similar to those that they currently use to design static...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: Ronald A. Metoyer This thesis presents a domain speci�c visual language designed to

  • Efficient Oblivious Access to Trees

    Creator:
    Hackebeil, Gabriel A.
    Abstract:
    The outsourcing of data storage and related infrastructure to third-party services in the cloud is a trend that has gained considerable momentum in the last decade due to the savings it affords companies in both capital and operational costs. Although encryption can alleviate some of the privacy concerns associated with...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Gabriel A. Hackebeil for the

  • 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

  • Optimization of machine allocation in RingLeader

    Creator:
    King, Jonathan B.
    Abstract:
    Many different types of distributed batch scheduling systems have been developed in the last decade to take advantage of the decentralization of computers and the enormous investments that many companies and educational institutions have in desktop workstations. Based on the premise that the majority of desktop workstations are significantly underutilized,...
    Resource Type:
    Masters Thesis
    Full Text:
    Allocation in Ring Leader. Abstract approved Vikram A. Saletore Many different types of distributed batch

  • A genetic dominance simulation program and its distribution web site for estimates of population genetic statistics

    Creator:
    Wu, Junyuan
    Abstract:
    In order to aid comparison of estimates of genetic parameters between dominant and codominant makers for population genetics society, we developed a genetic dominance simulation program to determine how the dominance and biallelism could affect the estimation of population genetic statistics. The simulation indicates that genetic diversities within populations based...
    Resource Type:
    Capstone Project
    Full Text:
    A Genetic Dominance Simulation Program and Its Distribution Web Site for Estimates of Population

  • 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
    Full Text:
    Roth A PROJECT submitted to Oregon State University in

  • 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:
    of Citizen Science Data as A Classification Problem with Class-Conditional Label Noise Abstract

  • Scheduling non-uniform parallel loops on MIMD computers

    Creator:
    Liu, Jie
    Abstract:
    Parallel loops are one of the main sources of parallelism in scientific applications, and many parallel loops do not have a uniform iteration execution time. To achieve good performance for such applications on a parallel computer, iterations of a parallel loop have to be assigned to processors in such a...
    Resource Type:
    Dissertation
    Full Text:
    approved. Dr. Vikram A. Saletore. Parallel loops are one of the main sources of parallelism in

  • Real-time Speech Workload Estimation

    Creator:
    Fortune, Julian D.
    Abstract:
    Demanding task environments (e.g., supervising a remotely piloted aircraft) require performing tasks quickly and accurately; however, periods of low and high operator workload can decrease task performance. Intelligent modulation of the system’s demands and interaction modality in response to changes in operator workload state may increase performance by avoiding undesirable...
    Resource Type:
    Honors College Thesis
    Full Text:
    Real-time Speech Workload Estimation By Julian Fortune A

  • Design and Implementation of an Analytics Interface for the “I Heart Corvallis” Mobile Application

    Creator:
    Habibelahian, Omeed A.
    Abstract:
    The Corvallis Community Relations (CCR) office has launched an initiative called “I Heart Corvallis” that serves to enhance OSU students’ sense of connection and contribution to the greater Corvallis community. The eponymous “I Heart Corvallis” mobile application serves as a central hub for community events and resources available to students...
    Resource Type:
    Honors College Thesis
    Full Text:
    Omeed Habibelahian A THESIS submitted to Oregon State University Honors College in partial

  • A study of macro level complexity metrics

    Creator:
    Harrison, Warren A.
    Abstract:
    Controlling the "complexity" or "understandability" of computer software is important because of its impact on program testing and maintenance. Of the large number of complexity metrics that have been developed to measure the complexity of a computer program, most assess the "micro-complexity" of each subprogram and few assess the "macro-complexity"...
    Resource Type:
    Dissertation
    Full Text:
    A study of macro level complexity metrics AN ABSTRACT OF

  • The Effectiveness of Using Robots in a Computer Science Orientation Class

    Creator:
    Alghamdi, Asma A.
    Abstract:
    One goal of using robots in introductory computer science (CS) courses is to improve motivation among learners. In this study, we investigate the effectiveness of using the Cozmo and Lego Mindstorm robots to improve students’ motivation in a CS orientation course, and we describe our experience using these robots in...
    Resource Type:
    Masters Thesis
    Full Text:
    Using Robots in a Computer Science Orientation Class Abstract approved

  • Information foraging in debugging

    Creator:
    Lawrance, Joseph A.
    Abstract:
    Programmers spend a substantial fraction of their debugging time by navigating through source code, yet little is known about how programmers navigate. With the continuing growth in size and complexity of software, this fraction of time is likely to increase, which presents challenges to those seeking both to understand and...
    Resource Type:
    Dissertation
    Full Text:
    spend a substantial fraction of their debugging time by navigating through source code, yet little is

  • A C* development environment for the Meiko CS-2 multicomputer

    Creator:
    Zhang, Chung
    Abstract:
    With sequential computing technology reaching its speed limits, parallel processing is emerg­ing as the key to very-high-speed computation. However, developing a parallel program is by no means a simple task; neither is analyzing the performance of parallel programs. C* is a high-level data-parallel language that hides explicit message passing and...
    Resource Type:
    Capstone Project
    Full Text:
    Jason A. Moore deserves special thanks for his seemingly endless patience and help . I am also

  • A laboratory station timetable problem

    Creator:
    Mickelsen, Thomas E.
    Abstract:
    The general problem of classroom scheduling is well known to be NP-complete. A typical classroom scheduling problem is that of assigning students to a limited number of pieces of laboratory equipment. Frequently several identical pieces of equipment are available only at fixed hours and have limited access due to physical...
    Resource Type:
    Capstone Project
    Full Text:
    ) A Laboratory Station Timetable Problem Thomas E

  • Event detection with forward-backward recurrent neural networks

    Creator:
    Ghaeini, Mohammad Reza
    Abstract:
    Automatic event extraction from natural text is an important and challenging task for natural language understanding. Traditional event detection methods heavily rely on manually engineered rich features. Recent deep learning approaches alleviate this problem by automatic feature engineering. But such efforts, like tradition methods, have so far only focused on...
    Resource Type:
    Masters Thesis
    Full Text:
    Processing, pages 1724–1734, 2014. [4] Ronan Collobert and Jason Weston. A unified architecture for natural

  • Learning with Limited Labeled Data in Natural Language Processing

    Creator:
    Obeidat, Rasha
    Abstract:
    The advent of deep learning models leads to a substantial improvement in a wide range of NLP tasks, achieving state-of-art performances without any hand-crafted features. However, training deep models requires a massive amount of labeled data. Labeling new data as a new task or domain emerges consumes time and efforts...
    Resource Type:
    Dissertation
    Full Text:
    advent of deep learning models leads to a substantial improvement in a wide range of NLP tasks

  • Improving and Understanding Deep Models for Natural Language Comprehension

    Creator:
    Ghaeini, Reza
    Abstract:
    Natural Language Comprehension is a challenging domain of Natural Language Processing. To improve a model’s language comprehension/understanding, one approach would be to enrich the structure of the model to enhance its capability in learning the latent rules of the language. In this dissertation, we will first introduce several deep models...
    Resource Type:
    Dissertation
    Full Text:
    . Fern Natural Language Comprehension is a challenging domain of Natural Language Pro- cessing. To

  • 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:
    Understanding Software-2.0: A Study of Machine

  • How Should A Deaf Car Drive?

    Creator:
    Grant, Denue, Jr.
    Abstract:
    This thesis seeks to determine whether a self-driving car's behavior should depend on the hearing status of its passengers: namely, hard-of-hearing (including deaf) or hearing. It is believed that auditory deprivation provokes adaptations in visual attention. These adaptations may lead to atypical movement patterns that can translate to different driving...
    Resource Type:
    Masters Thesis
    Full Text:
    degree of Master of Science in Computer Science presented on March 7, 2022 Title: How Should A Deaf Car

  • A Java based mobile wireless messaging model

    Creator:
    Prabhu, Ramya
    Resource Type:
    Capstone Project
    Full Text:
    committee and for his careful perusal of this report. On a more personal note, I would like to thank my

  • Experdite : a model based expert diagnostic system using a high level test description language

    Creator:
    Tilp, Philip
    Abstract:
    To be competitive in the development and production of complex electronic systems, a company must constantly scrutinize its manufacturing processes to find ways to reduce costs and increase productivity. One of the more costly problems is the inability to troubleshoot and repair faulty circuit boards on the spot. Rather, they...
    Resource Type:
    Capstone Project
    Full Text:
    EXPERDITE A MODEL BASED EXPERT DIAGNOSTIC SYSTEM USING A

  • A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

    Creator:
    Emmott, Andrew F.
    Abstract:
    It is common practice in the unsupervised anomaly detection literature to create experimental benchmarks by sampling from existing supervised learning datasets. We seek to improve this practice by identifying four dimensions important to real-world anomaly detection applications --- point difficulty, clusteredness of anomalies, relevance of features, and relative frequency of...
    Resource Type:
    Masters Thesis
    Full Text:
    degree of Master of Science in Computer Science presented on June 18, 2020. Title: A Benchmarking Study

  • Engineering Student Perspectives of a New Required Programming Course

    Creator:
    Garcia Ramirez, Jessica
    Abstract:
    We present student perceptions of a new first-year engineering programming class that was designed by informed research practices. While the College of Engineering at Oregon State University saw a lot of major switching in the first year, there were not many students switching into computer science (CS). This could have...
    Resource Type:
    Masters Thesis
    Full Text:
    . Title: Engineering Student Perspectives of a New Required Programming Course Abstract approved

  • Assessing mental workload and situation awareness in the evaluation of real-time, critical user interfaces

    Creator:
    Strawn, Jordan J.
    Abstract:
    While there are many ways to evaluate a user interface design, the user's mental workload and situation awareness (SA) are particularly important considerations in the supervisory control of safety-critical systems. Typically, operators of these systems must monitor high-volume, time-sensitive status information. Interface design for this domain can be challenging and...
    Resource Type:
    Masters Thesis
    Full Text:
    : ______________________________________________ Carlos Jensen While there are many ways to evaluate a user interface design, the user’s

  • Computing Resource Usage as a Factor of Student Success

    Creator:
    Moissinac, Béatrice
    Abstract:
    Learning Analytics and other branches of Educational Research such as Computing Education Research (CER) implicitly assume that students, especially college students, have no barriers to access learning platforms or software packages. This assumption may be attributed to such pervasive beliefs such as "everyone has a device", or "everyone can access...
    Resource Type:
    Dissertation
    Full Text:
    : Computing Resource Usage as a Factor of Student Success Abstract approved: Jennifer Parham-Mocello Robin B

  • Applying the Technology Acceptance Model to Understand the Intention to Use a CS-based Curriculum

    Creator:
    Gupta, Ayushi
    Abstract:
    In the ever-evolving field of computer science (CS) education, the significance of teachers and their backgrounds have often been overshadowed by the predominant focus on students. Teachers in the K-12 often lack the necessary expertise and have limited support provided by existing CS-based curricula. While research on CS education effectiveness...
    Resource Type:
    Masters Thesis
    Full Text:
    Technology Acceptance Model to Understand the Intention to Use a CS-based Curriculum Abstract approved

  • ASTEK : a multi-paradigm knowledge aquisition tool for complex structured knowledge

    Creator:
    Jacobson, Chris E.
    Abstract:
    Knowledge based systems can require large, highly complex and varied forms of knowledge. An effective knowledge acquisition tool to support such a system should allow the user to transfer and manipulate the different forms knowledge in a manner that is clear and intuitive. ASTEK is a knowledge acquisition tool that...
    Resource Type:
    Masters Thesis
    Full Text:
    ASTEK : a multi-paradigm knowledge aquisition tool for

  • Executable semantics for PLEXIL : simulating a task-scheduling language in Haskell

    Creator:
    Strauss, Paul J.
    Abstract:
    An interdisciplinary study into the theory of design decisions has yielded a model for tracking design changes in hardware/software systems, but it still needs to be applied to a larger system to test its efficiency at tracking important data. This thesis creates an implementation of PLEXIL, a language in development...
    Resource Type:
    Masters Thesis
    Full Text:
    Jason Siefken for giving me a constant motivation to finish this thesis to the best of my ability

  • 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:
    Similarity Inheritance: A Model of Inheritance for Declarative

  • 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

  • Developing a 2D Cross-section Training Strategy for 3D Volume Segmentation by Analyzing Human Perception and Cognitive Tasks

    Creator:
    Sanandaji, Anahita
    Abstract:
    3D volume segmentation is a fundamental process in many scientific and medical applications. Producing accurate segmentations, in an efficient way, is challenging, in part due to low imaging data quality (e.g., noise and low image resolution), and ambiguity in the data that can only be resolved with higher-level knowledge of...
    Resource Type:
    Dissertation
    Full Text:
    a 2D Cross-section Training Strategy for 3D Volume Segmentation by Analyzing Human Perception and

  • Empowering End Users to Mitigate Privacy and Security Risks in Smart-Home Trigger-Action Apps

    Creator:
    Saeidi, Mahsa
    Abstract:
    Many home users nowadays use various smart devices to improve the efficiency and convenience of their home environments. Trigger-action platforms such as “If-This-Then-That” (IFTTT) enable end users to connect different smart devices and services using simple apps to control these devices and automate the tasks (e.g., if the camera detects...
    Resource Type:
    Dissertation
    Full Text:
    , in the above example, a confidentiality violation can occur if Google drive is shared and unintended

  • Exploration of regression models for cancer noncoding mutation recurrence

    Creator:
    Xu, Tanjin
    Abstract:
    An important impact of the genome technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Integrated with current well-studied massive knowledge and findings about the role of protein-coding mutations in cancer, demystifying the functional...
    Resource Type:
    Masters Thesis
    Full Text:
    for Cancer Noncoding Mutation Recurrence Abstract approved: Stephen A. Ramsey An important impact

  • Elucidating Computational Narratives to Facilitate Code Comprehension

    Creator:
    Chattopadhyay, Souti
    Abstract:
    Programming is integrated across the workflow of multiple domains where end-user programmers, those who need to program as a means to an end, regularly need to code. In the modern setting of collaborative development, end-user programmers have to interpret the intentions behind existing code to contribute and build solutions to...
    Resource Type:
    Dissertation
    Full Text:
    to program as a means to an end, regularly need to code. In the modern setting of collaborative

  • Constructing Race in Anime

    Creator:
    Lei, Anne
    Abstract:
    Anime and manga’s general lack of brown and black characters may not seem unusual at first considering that the medium is produced in Japan by Japanese creators for Japanese audiences, and thus chiefly features Japanese characters. However, its significant proportion of white characters necessitates a more critical investigation of racial...
    Resource Type:
    Honors College Thesis
    Full Text:
    A THESIS submitted to Oregon State University Honors College

  • Shape Modeling and GPU Based Image Warping

    Creator:
    Burri, David
    Abstract:
    This project addresses the problems of manually placing facial landmarks on a portrait and finding a fast way to warp the annotated image of a face. While there are many approaches to automatically find facial landmarks, most of them provide insufficient results in uncontrolled environments. Thus I introduce a method...
    Resource Type:
    Capstone Project
    Full Text:
    manually placing facial landmarks on a portrait and finding a fast way to warp the annotated image of a

  • Knowledge Base Completion Leveraging Natural Language Data

    Creator:
    Shahbazi, Hamed
    Abstract:
    Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
    Resource Type:
    Dissertation
    Full Text:
    named entities (real-world objects) is usually harvested from differ- ent sources and organized as a

  • Robust and Efficient Classification of Videos in the Wild

    Creator:
    Mahasseni, Behrooz
    Abstract:
    Recognizing human actions in videos is a long-standing problem in computer vision with a wide range of applications including video surveillance, content retrieval, and sports analysis. This thesis focuses on addressing efficiency and robustness of video classification in unconstrained real-world settings. The thesis work can be broadly divided into four...
    Resource Type:
    Dissertation
    Full Text:
    actions in videos is a long-standing problem in computer vision with a wide range of applications

  • 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:
    , Takaji Messer, for his tireless long nights. A huge thank you to Jason Cross for inspiring me to never

  • Supporting merge comprehension when resolving merge conflicts

    Creator:
    Nelson, Nicholas
    Abstract:
    Distributed version control allows developers to manage software evolution among distributed development teams. But it does not eliminate all consistency and concurrency issues, and instead introduces additional complexity when merging code. And resolving merge conflicts is nontrivial when automated merging fails. In such cases, developers are forced to inspect the...
    Resource Type:
    Dissertation
    Full Text:
    during a merge con- flict, we conduct large-scale surveys of developers. We define a model that

  • CoprHD: ScaleIO Driver based on Southbound SDK

    Creator:
    Patkar, Prathamesh Pramod
    Abstract:
    Software Defined Storage is a term for data storage software to manage policy-based provisioning and management of heterogeneous data storage system abstracting underlying hardware. CoprHD is a software defined storage controller and API platform which enables policy-based management and cloud automation of storage resources for block, object and file storage...
    Resource Type:
    Capstone Project
    Full Text:
    : ______________________________________________________ Dr. Rakesh Bobba Software Defined Storage is a term for data storage software to manage policy

  • Integrating learning and search for structured prediction

    Creator:
    Doppa, Janardhan Rao
    Abstract:
    We are witnessing the rise of the data-driven science paradigm, in which massive amounts of data - much of it collected as a side-effect of ordinary human activity - can be analyzed to make sense of the data and to make useful predictions. To fully realize the promise of this...
    Resource Type:
    Dissertation
    Full Text:
    – much of it collected as a side-effect of ordinary human activity – can be analyzed to make sense of

  • Learning greedy policies for the easy-first framework

    Creator:
    Xie, Jun
    Abstract:
    Easy-first, a search-based structured prediction approach, has been applied to many NLP tasks including dependency parsing and coreference resolution. This approach employs a learned greedy policy (action scoring function) to make easy decisions first, which constrains the remaining decisions and makes them easier. This thesis studies the problem of learning...
    Resource Type:
    Masters Thesis
    Full Text:
    the Easy-First Framework Abstract approved: Xiaoli Z. Fern Easy-first, a search-based structured

  • ScaleIO Storage Driver Based on CoprHD Southbound SDK

    Creator:
    Rajgopal, Varun
    Abstract:
    CoprHD is an open source software defined storage controller platform. It holds an inventory of all storage devices in the data center and understands their connectivity. It is an operating system for a storage cloud. It is designed with two key goals in mind: • Make an enterprise or a...
    Resource Type:
    Capstone Project
    Full Text:
    storage devices in the data center and understands their connectivity. It is an operating system for a

  • Average-reward reinforcement learning for product delivery by multiple vehicles

    Creator:
    Tang, Hong
    Abstract:
    Real time delivery of products is the context of stochastic demands and multiple vehicles is a difficult problem as it requires the joint investigation of the problems in inventory control and vehicle routing. We model this problem in the framework of Average reward Reinforcement Learning (ARL) and present experimental results...
    Resource Type:
    Capstone Project
    Full Text:
    delivery of products in the context of stochastic demands and multiple vehicles is a difficult problem as

  • Code generation in the Oregon speedcode universe

    Creator:
    Armstrong, James R. (James Russel)
    Abstract:
    The purpose of this project was to create a code generating software tool, which is one section of the Oregon SpeedCode Universe. The Code Generator automatically generates compilable source code to form working Macintosh applications. This source code provides a prototype for the actual final application. This is done with...
    Resource Type:
    Masters Thesis
    Full Text:
    : Redacted for Privacy J-01. 1 GU. V. J-,V W1J The purpose of this project was to create a code generating

  • Benchmarking and Programming Practices for the Intel Xeon Phi Coprocessor

    Creator:
    Leslie, William
    Abstract:
    The Intel Xeon Phi is a relative newcomer to the scientific computing scene. In the recent years, GPUs have been used extensively for mathematical simulations. The Xeon Phi is Intel’s response to the use of these cards. Like the GPU, it is highly parallelizable but can be programmed like a...
    Resource Type:
    Capstone Project
    Full Text:
    : The Intel Xeon Phi is a relative newcomer to the scientific computing scene. In the recent years

  • 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:
    approved: Fuxin Li In this thesis, a new learning algorithm is introduced that is targeted towards

  • GraphLab : adding graphical functionality to OSU

    Creator:
    Lim, Mu-Hong
    Abstract:
    Oregon SpeedCode Universe (OSU) is a rapid prototyping system which automates the production of applications from a description of the user interface. GraphLab is a domain-specific tool which deals with several major problems concerning OSU: (1) limited functionality, that is, lacking graphical capabilities in generated applications, (2) indirect approach to...
    Resource Type:
    Capstone Project
    Full Text:
    GraphLab : Adding Graphical Functionality to OSU by Mu-Hong Lim A research project submitted in

  • Learning Based Anomaly Detection for Industrial Arm Applications

    Creator:
    Narayanan, Vedanth
    Abstract:
    Smart Manufacturing (SM) is envisioned to make manufacturing processes more efficient through automation and integration of networked information systems. Robotic arms are integral to this vision. However the benefits of SM, enabled by automation and networking, also come with cyber risks. In this work, we propose an anomaly detection framework...
    Resource Type:
    Capstone Project
    Full Text:
    in a manufacturing pipeline and integrate it into Robot Operating System (ROS), a middleware

  • Deep Learning for Human and Biological Languages

    Creator:
    Hong, Junki
    Abstract:
    We explore the application of deep learning to the disparate fields of natural language processing and computational biology. Both the sentences uttered by humans as well as the RNA and protein sequences found within the cells of their bodies can be considered formal languages in computer science, as sets of...
    Resource Type:
    Dissertation
    Full Text:
    Professor Jason Eisner at Johns Hopkins, who as incredibly talented as he is still spent a lot of time with

  • Semantic embodied navigation : developing agents that navigate from language and vision

    Creator:
    Krantz, Jacob
    Abstract:
    Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...
    Resource Type:
    Dissertation
    Full Text:
    - ments to follow a motion path or reach a destination. Semantic refers to how the goal is specified

  • Window Axial Vision Transformer for Image Classification

    Creator:
    Lee, Jisoo
    Abstract:
    Currently, a popular approach to image classification uses the deep Transformer architecture. In a Transformer, the attention mechanism enables the model to learn efficiently with fewer computational resources than the convolutional neural networks (CNNs). In this thesis, we study the sparse attention mechanism widely used in the Transformers developed specifically...
    Resource Type:
    Masters Thesis
    Full Text:
    Transformer for Image Classification Abstract approved: Sinisa Todorovic Currently a popular approach to

  • Towards architecture-adaptable parallel programming

    Creator:
    Kumaran, Santhosh
    Abstract:
    There is a software gap in parallel processing. The short lifespan and small installation base of parallel architectures have made it economically infeasible to develop platform-specific parallel programming environments that deliver performance and programmability. One obvious solution is to build architecture-independent programming environments. But the architecture independence usually comes at...
    Resource Type:
    Dissertation
    Full Text:
    approved Michael J. Quinn There is a software gap in parallel processing. The short lifespan and small

  • Structured Neural Models for Natural Language Processing

    Creator:
    Ma, Mingbo
    Abstract:
    Most tasks in natural language processing (NLP) involves structured information from both input (e.g., a sentence or a paragraph) and output (e.g., a tag sequence, a parse tree or a translated sentence). While neural models achieve great successes in other domains such as computer vision, applying those frameworks to NLP...
    Resource Type:
    Dissertation
    Full Text:
    language processing (NLP) involves structured information from both input (e.g., a sentence or a paragraph

  • Open Set Learning with Counterfactual Images

    Creator:
    Neal, Lawrence W.
    Abstract:
    In open set recognition, a classifier must label instances of known classes while detecting instances of unknown classes not encountered during training. To detect unknown classes while still generalizing to new instances of existing classes, this thesis introduces a dataset augmentation technique called counterfactual image generation. This approach, based on...
    Resource Type:
    Masters Thesis
    Full Text:
    , Phillip Isola, and Alexei A Efros. Unpaired image-to- image translation using cycle-consistent adversarial

  • Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

    Creator:
    Khorram, Saeed
    Abstract:
    In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: Fuxin Li In this thesis, we introduce a novel Explanation Neural Network (XNN) to

  • Deep Segmentation in Plant Phenomics

    Creator:
    Kaur, Damanpreet
    Abstract:
    The abilities of plant biologists to characterize the genetic basis of physiological traits are limited by their abilities to obtain quantitative data representing precise details of trait variation and mainly to collect this data on a high-throughput scale at low cost. Deep learning-based methods have demonstrated unprecedented potential to automate...
    Resource Type:
    Masters Thesis
    Full Text:
    representing precise details of trait variation and mainly to collect this data on a high-throughput scale at

  • New Directions in Search-based Structured Prediction: Multi-Task Learning and Integration of Deep Models

    Creator:
    Ma, Chao
    Abstract:
    This thesis studies the problem of structured prediction (SP), where the agent needs to predict a structured output for a given structured input (e.g., Part-of-Speech tagging sequence for an input sentence). Many important applications including machine translation in natural language processing (NLP) and image interpretation in computer vision can be...
    Resource Type:
    Dissertation
    Full Text:
    ), where the agent needs to predict a structured output for a given structured input (e.g., Part-of-Speech

  • Learning affinities of exemplar videos for multi-view action recognition

    Creator:
    Roy, Anirban
    Abstract:
    This thesis addresses a fundamental computer vision problem, that of action recognition. The goal of action recognition is to recognize a class of human actions in a given video. Action recognition has a wide range of applications, including automated surveillance, sports video analysis, internet-based searches etc. The main challenge is...
    Resource Type:
    Masters Thesis
    Full Text:
    addresses a fundamental computer vision problem, that of action recognition. The goal of action recognition

  • An Analysis of Students’ Self-efficacy and the Effectiveness of Peer Review in First-year CS Courses

    Creator:
    Jen, Funfay
    Abstract:
    Students’ success is one of the foremost objectives in higher education, and their self-efficacy plays a prominent role in students’ achieving their full potentials. It is especially important in STEM fields, which often suffer from higher attrition rates. Therefore, it is important to understand students’ self-efficacy levels at an early...
    Resource Type:
    Masters Thesis
    Full Text:
    their self-efficacy plays a prominent role in students’ achieving their full potentials. It is

  • Adversarial Attacks in Natural Language Question-Answering

    Creator:
    Rahurkar, Prachi S.
    Abstract:
    Question Answering in natural language processing has achieved significant progress in recent years. Yet, training and testing set methodology to evaluate the language models has proved inadequate. Adversarial examples aid us in finding loopholes inside these models and provide insights into their inner workings. In this work, an evaluation based...
    Resource Type:
    Masters Thesis
    Full Text:
    Dinan, Mohit Bansal, Jason Weston, and Douwe Kiela. Adversarial nli: A new benchmark for natural

  • 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:
    applications that enable communication, en- tertainment, and productivity. A sustainable OSS ecosystem is one

  • Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

    Creator:
    Dodge, Jonathan E.
    Abstract:
    Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...
    Resource Type:
    Dissertation
    Full Text:
    ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools

  • Ideal Thumbnail-Preserving Encryption for Balancing Image Privacy and Usability

    Creator:
    Tajik, Kimia
    Abstract:
    In this dissertation, we propose Ideal Thumbnail-Preserving Encryption (Ideal TPE), as a special case of format-preserving encryption, to balance image privacy and usability concerns in a cloud environment. We first introduce a concrete construction for Ideal TPE, that provably leaks nothing about the plaintext (unencrypted) image beyond its thumbnail. We...
    Resource Type:
    Dissertation
    Full Text:
    dissertation, we propose Ideal Thumbnail-Preserving Encryption (Ideal TPE), as a special case of format

  • 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:
    . We are studying plant-bacteria interactions. The immune response of a plant to a pathogen can be

  • Identifying and Removing On-chip Network Bottleneck in Throughput Processors

    Creator:
    Li, Yunfan
    Abstract:
    The high level of parallelism in throughput processors such as GPGPUs has resulted in significantly changed on-chip data traffic behaviors. This demands new research to identify and address the limiting factors of networks-on-chip (NoCs) in the context of throughput processors. In this work, we first quantitatively analyze the performance of...
    Resource Type:
    Masters Thesis
    Full Text:
    performance of on-chip networks in GPGPUs, and identify a serious NoC bottleneck where the reply data from

  • Video Analysis : Techniques for Semi-Supervised Video Object Instance Segmentation and Tracking-by-Detection in the Wild

    Creator:
    Firl, Alrik K.
    Abstract:
    This thesis consists of two major components. The first part is concerned with video object instance segmentation (VOS), which is the task of assigning per-pixel labels perframe of a video sequence to indicate foreground object instance membership, given the first frame ground truth mask. VOS has myriad applications, from video...
    Resource Type:
    Masters Thesis
    Full Text:
    - frame of a video sequence to indicate foreground object instance membership, given the first frame

  • HELM, hierarchical environment for linear modeling

    Creator:
    Brown, Carol E.
    Abstract:
    Several problems relating to linear programming modeling have been identified: (1) model formulation, validation and explanation are difficult and time consuming; (2) models must be frequently updated and debugged; (3) flexibility is needed to specify the model schema for a class of problems as a group; and (4) significant differences...
    Resource Type:
    Dissertation
    Full Text:
    must be frequently updated and debugged; (3) flexibility is needed to specify the model schema for a

  • Learning with Partial Supervision for Clustering and Classification

    Creator:
    Pei, Yuanli
    Abstract:
    In the field of machine learning, clustering and classification are two fundamental tasks. Traditionally, clustering is an unsupervised method, where no supervision about the data is available for learning; classification is a supervised task, where fully-labeled data are collected for training a classifier. In some scenarios, however, we may not...
    Resource Type:
    Dissertation
    Full Text:
    ; classification is a supervised task, where fully-labeled data are collected for training a classifier. In some

  • Supporting end-user debugging

    Creator:
    Kissinger, Cory
    Abstract:
    Although researchers have begun to explicitly support end-user programmers’ debugging by providing information to help them find bugs, there is little research addressing the right content to communicate to these users. The specific semantic content of these debugging communications matters because, if the users are not actually seeking the information...
    Resource Type:
    Masters Thesis
    Full Text:
    everything from a smooth running implementation to a few laughs—thank you Flora Tan, Joey Lawarance, Jason

  • Towards Narrative Understanding with Deep Neural Networks and Hidden Markov Models

    Creator:
    Orr, J. Walker
    Abstract:
    Narratives are central to communication and the human experience. For a computer system to understand a narrative, it must be able to identify the key facts or plot elements that describe what happened or how the world has changed. These element are called events;establishing a document’s events and the relationships...
    Resource Type:
    Dissertation
    Full Text:
    Narratives are central to communication and the human experience. For a computer system to understand a

  • The sum of its parts : investigating the component pieces of GenderMag

    Creator:
    Hill, Charles
    Abstract:
    Previous work introduced the GenderMag method, a software inspection method used to help software creators identify features within their software that are not gender-inclusive. Inclusiveness of software (gender or otherwise) matters because supporting diversity matters—it is well-known that the more diverse a group of problem-solvers, the higher the quality of...
    Resource Type:
    Masters Thesis
    Full Text:
    M. Burnett Previous work introduced the GenderMag method, a software inspection method used

  • Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

    Creator:
    Wang, Xinyao
    Abstract:
    Heatmap regression has became one of the mainstream approaches to localize facial landmarks. As Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are becoming popular in solving computer vision tasks, extensive research has been done on these architectures. However, the loss function for heatmap regression is rarely studied. In...
    Resource Type:
    Masters Thesis
    Full Text:
    assigned on a very unbalanced background and foreground pixels on heatmap. To resolve the first issue, we

  • Routerless Network-on-chip

    Creator:
    Alazemi, Fawaz
    Abstract:
    Traditional bus-based interconnects are simple and easy to implement, but the scalability is greatly limited. While router-based networks-on-chip (NoCs) offer superior scalability, they also incur significant power and area overhead due to complex router structures. In this thesis, a new class of on-chip networks, referred to as Routerless (RL) NoCs,...
    Resource Type:
    Dissertation
    Full Text:
    to complex router structures. In this thesis, a new class of on-chip networks, referred to as

  • Dimensionality Reduction Techniques for Compositional Data : An Empirical Study

    Creator:
    George, Rogen
    Abstract:
    Compositional data is a type of data where the features are non-negative and always sum to a constant. This type of data is frequently encountered in many fields such as microbiology, geology, economics and natural language processing. Compositional data has unique statistical properties that makes it difficult to apply standard...
    Resource Type:
    Masters Thesis
    Full Text:
    data is a type of data where the features are non-negative and always sum to a constant. This type of

  • Incorporating User Feedback into Machine Learning Systems

    Creator:
    Das, Shubhomoy
    Abstract:
    Although machine learning systems are often effective in real-world applications, there are situations in which they can be even better when provided with some degree of end user feedback. This is especially true when the machine learning system needs to customize itself to the end user's preferences, such as in...
    Resource Type:
    Dissertation
    Full Text:
    machine learning system needs to customize itself to the end user’s preferences, such as in a recommender

  • Motivating programmers through karma systems

    Creator:
    Cedeno, Jose
    Abstract:
    Keeping FOSS developers motivated is a challenging problem, and their motivation levels can affect the team's productivity and satisfaction, leading to higher or lower productivity. Using reputation systems as a motivator has become the de-facto standard for many online communities, rewarding user's activity through badges of honor or achievement levels....
    Resource Type:
    Masters Thesis
    Full Text:
    :   _______________________________________________   Carlos  Jensen     Keeping  FOSS  developers  motivated  is  a

  • Protein secondary structure prediction using conditional random fields and profiles

    Creator:
    Shen, Rongkun
    Abstract:
    Protein secondary structure prediction plays a pivotal role in predicting protein folding in three-dimensions. Its task is to assign each residue one of the three secondary structure classes helix, strand, or random coil. This is an instance of the problem of sequential supervised learning in machine learning. This thesis describes...
    Resource Type:
    Masters Thesis
    Full Text:
    Protein secondary structure prediction plays a pivotal role in predicting protein folding in three

  • Evaluation functions in aerial image segmentation

    Creator:
    Langford, William T.
    Abstract:
    Remote sensing is the most practical way to acquire large amounts of land cover data for monitoring and understanding environmental change, so it is important to be able to map land cover from imagery. Maps defining land cover patches as polygons rather than pixels greatly improve processing efficiency in models...
    Resource Type:
    Dissertation
    Full Text:
    segmentation. Assigning a cover type label to a pixel or polygon is called classiflcation. Accuracy of maps

  • The density signature

    Creator:
    Migler-VonDollen, Theresa
    Abstract:
    In real networks, identifying dense regions is of great importance. For example, in a network that represents academic collaboration, authors within the densest component of the graph tend to be the most prolific. Dense subgraphs often identify communities in social networks. And dense subgraphs can be used to discover regulatory...
    Resource Type:
    Dissertation
    Full Text:
    real networks, identifying dense regions is of great importance. For example, in a network that

  • Predicting and Improving Throughput, Responsiveness and Battery Life of Computer Systems by Machine Learning

    Creator:
    Li, Yunfan
    Abstract:
    The Machine Learning (ML) algorithms are increasingly explored in varies of fields including designing and optimizing computer systems. Recent research, such as optimizing memory/cache prefetching by ML training or predicting traffic pattern in throughput processors, also exhibits a promising future of introducing ML into computer system design and optimization. Throughput...
    Resource Type:
    Dissertation
    Full Text:
    a promising future of introducing ML into computer system design and optimization. Throughput

  • Personalizing machine learning systems with explanatory debugging

    Creator:
    Kulesza, Todd
    Abstract:
    How can end users efficiently influence the predictions that machine learning systems make on their behalf? Traditional systems rely on users to provide examples of how they want the learning system to behave, but this is not always practical for the user, nor efficient for the learning system. This dissertation...
    Resource Type:
    Dissertation
    Full Text:
    , nor efficient for the learning system. This dissertation explores a different personalization

  • Creating, Understanding and Applying Machine Learning Models of Multiple Species

    Creator:
    Griffioen, Arwen Twinkle E.
    Abstract:
    Many problems in ecology and conservation biology can be formulated and solved using machine learning algorithms for multi-label classification. This dissertation addresses three topics related to predicting the distributions of multiple species. It improves existing methods and proposes a new modeling paradigm to address the multi-species, multi-label problem. The first...
    Resource Type:
    Dissertation
    Full Text:
    related to predicting the distributions of multiple species. It improves existing methods and proposes a

  • Exploring security metrics for electric grid infrastructure leveraging attack graphs

    Creator:
    Patapanchala, Panini Sai
    Abstract:
    Electric grid is a critical cyber-physical infrastructure that serves as lifeline for modern society. With the increasing trend of cyber-attacks, electric grid security has become a significant concern. Electric grid operators are working hard to reduce the risk of these attacks towards the system. Having security metrics for monitoring the...
    Resource Type:
    Masters Thesis
    Full Text:
    Electric grid is a critical cyber-physical infrastructure that serves as lifeline for mod- ern society

  • Eliciting informal specifications from scientific modelers for evaluation and debugging

    Creator:
    Bogart, Christopher
    Abstract:
    Professional software engineers have an arsenal of techniques such as unit testing and assertions to check their specifications, but these techniques require tools, motivation, experience and training that programmers without professional software engineering training may not have. As a result, professionals in other fields, such as scientific modelers, face greater...
    Resource Type:
    Dissertation
    Full Text:
    . As a result, professionals in other fields, such as scientific modelers, face greater hurdles in

  • Improving automated email tagging with implicit feedback

    Creator:
    Sorower, Mohammad Shahed
    Abstract:
    Machine learning systems are generally trained offline using ground truth data that has been labeled by experts. However, these batch training methods are not a good fit for many applications, especially in the cases where complete ground truth data is not available for offline training. In addition, batch methods do...
    Resource Type:
    Dissertation
    Full Text:
    . However, these batch training methods are not a good �t for many applications, especially in the cases

  • Visualization of N-ary Relationships

    Creator:
    Qu, Botong
    Abstract:
    N-ary relationships, which relate N entities where N is not necessarily two, are omnipresent in real life. In this thesis, we develop a visualization technique for N-ary relationships. First, we propose a visual metaphor that utilizes vertices and polygons to represent entities and N-ary relationships. Based on this visual metaphor,...
    Resource Type:
    Dissertation
    Full Text:
    where N is not necessarily two, are omnipresent in real life. In this thesis, we develop a