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Theses/Dissertations from 2022

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Still No Crystal Ball: Toward an Application for Broad Evaluation of Student Understanding, Piper Armstrong

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Enhancing the Opportunities for Adults with Autism to Find Jobs Using a Job-Matching Algorithm, Joseph T. Bills

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How Failures Cascade in Software Systems, Barbara W. Chamberlin

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A Visual Focus on Form Understanding, Brian Lafayette Davis

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Evaluating Multi-Agent Modeller Representations, Jonathan Demke

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Determining Figure Skating Jump Under-Rotation in Real-Time Using IMU Sensors During Practice, Duncan O. Furgeson

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A Usability Study of FIDO2 Hardware Tokens on Mobile Devices, Stephen Lambert

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Towards Color-Based Two-Hand 3D Global Pose Estimation, Fanqing Lin

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Symbolic Semantic Memory in Transformer Language Models, Robert Kenneth Morain

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Characterizing Equivalence and Correctness Properties of Dynamic Mode Decomposition and Subspace Identification Algorithms, Samuel Gregory Neff

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Efficient and Adaptive Decentralized Sparse Gaussian Process Regression for Environmental Sampling Using Autonomous Vehicles, Tanner A. Norton

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Musical Phrase Segmentation via Grammatical Induction, Reed James Perkins

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Language Learning Using Models of Intentionality in Repeated Games with Cheap Talk, Jonathan Berry Skaggs

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“If I could do this, I feel anyone could:” The Design and Evaluation of a Two-Factor Authentication Manager, Garrett D. Smith

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Confronting Barriers to Human-Robot Cooperation: Balancing Efficiency and Risk in Machine Behavior, Tim Whiting

Theses/Dissertations from 2021

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Modeling User Relationships in Online Communities of Creators, Berkeley Andrus

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Reducing the Manual Annotation Effort for Handwriting Recognition Using Active Transfer Learning, Eric Burdett

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Computing Agent Competency in First Order Markov Processes, Xuan Cao

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Simple SSH Management, Torstein Calvin Collett

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The DNS Bake Sale: Advertising DNS Cookie Support for DDoS Protection, Jacob Davis

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Plot Extraction and the Visualization of Narrative Flow, Michael A. DeBuse

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Improving Artistic Workflows For Fluid Simulation Through Adaptive and Editable Fluid Simulation Techniques, Sean A. Flynn

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Interpretable Fine-Grained Visual Categorization, Pei Guo

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Beware of IPs in Sheep's Clothing: Measurement and Disclosure of IP Spoofing Vulnerabilities, Alden Douglas Hilton

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The "What"-"Where" Network: A Tool for One-Shot Image Recognition and Localization, Daniel Hurlburt

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Predicting Human Behavior in Repeated Games with Attitude Vectors, Brian L. James

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Turn of Phrase: Contrastive Pre-Training for Discourse-Aware Conversation Models, Roland Laboulaye

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Exploring Non-Functional Coupling Between Subsystems, Matt Pope

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A Usability Study of FIDO2 Roaming Software Tokens as a Password Replacement, Brian Rasmussen

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Reinforcement Learning with Auxiliary Memory, Sterling Suggs

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Deep Parameter Selection For Classic Computer Vision Applications, Michael Whitney

Theses/Dissertations from 2020

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Facing the Hard Problems in FGVC, Connor Stanley Anderson

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TRACE: A Differentiable Approach to Line-Level Stroke Recovery for Offline Handwritten Text, Taylor Neil Archibald

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Methods for Generative Adversarial Output Enhancement, Michael B. Brodie

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Geometric Extensions of Neural Processes, Andrew Newberry Carr

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Ansible: Select-to-Edit for Physical Widgets, Benjamin M. Crowder

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Managing Two-Factor Authentication Setup Through Password Managers, Jonathan William Dutson

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Graph-Based Whole Genome Phylogenomics, Masaki Stanley Fujimoto

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Retiming Smoke Simulation Using Machine Learning, Samuel Charles Gérard Giraud Carrier

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Abstractions of Graph Models, Charles Addison Johnson

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Supporting Support Engineers, Esdras Kutomi

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Vulnerability Analysis of Infrastructure Systems, Sean Theodore Lane

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Comparative Genomics Using the Colored de Bruijn Graph, Cole Andrew Lyman

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On the Distribution of Inter-Arrival Times of 911 Emergency ResponseProcess Events, Blake Cameron Moss

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Towards Cooperating in Repeated Interactions Without Repeating Structure, Huy Pham

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Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning, Christopher Michael Rytting

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Metalearning by Exploiting Granular Machine Learning Pipeline Metadata, Brandon J. Schoenfeld

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Multi-objective Intent-based Path Planning for Robots for Static and Dynamic Environments, Meher Talat Shaikh

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Orientable Single-Distance Codes for Absolute Incremental Encoders, Kristian Brian Sims

Theses/Dissertations from 2019

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Laying a Foundation for Computing in Outdoor Recreation, Zann Benjamin Anderson

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Moderating Influence as a Design Principle for Human-Swarm Interaction, C Chace Ashcraft

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Recommending Games to Adults with Autism Spectrum Disorder(ASD) for Skill Enhancement Using Minecraft, Alisha Banskota

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Measuring Influence on Linear Dynamical Networks, Jaekob Chenina

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Exploring the Relationship Between Vocabulary Scaling and Algorithmic Performance in Text Classification for Large Datasets, Wilson Murray Fearn

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Semantically Aligned Sentence-Level Embeddings for Agent Autonomy and Natural Language Understanding, Nancy Ellen Fulda

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Multi-Human Management of a Hub-Based Colony: Efficiency and Robustness in the Cooperative Best M-of-N Task, John Rolfes Grosh

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Deep Synthetic Noise Generation for RGB-D Data Augmentation, Patrick Douglas Hammond

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Light-Field Style Transfer, David Marvin Hart

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After HTTPS: Indicating Risk Instead of Security, Matthew Wayne Holt

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A Shared-Memory Coupled Architecture to Leverage Big Data Frameworks in Prototyping and In-Situ Analytics for Data Intensive Scientific Workflows, Alexander Michael Lemon

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Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks, Chi Ho Leung

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Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks, Chi Ho Leung

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Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks, Chi Ho Leung

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Emergence of Collective Behaviors in Hub-Based Colonies using Grammatical Evolution and Behavior Trees, Aadesh Neupane

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The Security Layer, Mark Thomas O'Neill

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Video Prediction with Invertible Linear Embeddings, Robert Thomas Pottorff

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Deep Learning for Document Image Analysis, Christopher Alan Tensmeyer

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Representation and Reconstruction of Linear, Time-Invariant Networks, Nathan Scott Woodbury

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Resolving the Privacy Paradox: Bridging the Behavioral Intention Gap with Risk Communication Theory, Justin Chun Wah Wu

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Automatic Detection and Prevention of Fake Key Attacks in Signal, Tarun Kumar Yadav

Theses/Dissertations from 2018

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An Algorithm for Symbolic Computing of Singular Limits of Dynamical Systems, Dane Jordan Bjork

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Machine Learning for Inspired, Structured, Lyrical Music Composition, Paul Mark Bodily

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Subword Spotting and Its Applications, Brian Lafayette Davis

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Subword Spotting and Its Applications, Brian Lafayette Davis

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Cake Cam: Take Your Photo and Be in It Too, Candice Lynn Davis

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Certificate Revocation Table: Leveraging Locality of Reference in Web Requests to Improve TLS Certificate Revocation, Luke Austin Dickinson

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Improving the Quality of Neural Machine Translation Using Terminology Injection, Duane K. Dougal

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The Bird and The Fish: Motion Field-Based Frame Interpolation in the Context of a Story, Thomas Sterling Ellsworth

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Adaptive Fluid Simulation Using a Linear Octree Structure, Sean A. Flynn

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A Large-Scale Analysis of How OpenSSL Is Used in Open-Source Software, Scott Jared Heidbrink

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Suggesting Missing Information in Text Documents, Grant Michael Hodgson

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Signal Structure for a Class of Nonlinear Dynamic Systems, Meilan Jin

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Flow Adaptive Video Object Segmentation, Fanqing Lin

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Fine-Grained Topic Models Using Anchor Words, Jeffrey A. Lund

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Toward Real-Time FLIP Fluid Simulation through Machine Learning Approximations, Javid Kennon Pack

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Evaluating the Usability of Two-Factor Authentication, Kendall Ray Reese

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Probabilistic Programming for Theory of Mind for Autonomous Decision Making, Iris Rubi Seaman

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Security Analysis and Recommendations for CONIKS as a PKI Solution for Mobile Apps, George Bradley Spendlove

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Fully Convolutional Neural Networks for Pixel Classification in Historical Document Images, Seth Andrew Stewart

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Fully Convolutional Neural Networks for Pixel Classification in Historical Document Images, Seth Andrew Stewart

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A Quantitative Study of the Deployment of the Sender Policy Framework, Eunice Zsu Tan

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Usable Security and Privacy for Secure Messaging Applications, Elham Vaziripour

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End-to-End Full-Page Handwriting Recognition, Curtis Michael Wigington

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NetLight: Cloud Baked Indirect Illumination, Nathan Andrew Zabriskie

Theses/Dissertations from 2017

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"I Can Physically Feel the Difference": Exploring Physicalizations of Running Data, Zann Benjamin Anderson

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Recommender Systems for Family History Source Discovery, Derrick James Brinton

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Robust Object Tracking: A Path-Planning Approach, Bryant Eldon Chandler

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Theory and Applications of Network Structure of Complex Dynamical Systems, Vasu Nephi Chetty

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The OGCleaner: Detecting False-Positive Sequence Homology, Masaki Stanley Fujimoto

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Shadow Patching: Exemplar-Based Shadow Removal, Ryan Sears Hintze