Theses/Dissertations from 2024
Procedural Pre-Training for Visual Recognition, Connor S. Anderson
Robot Proficiency Self-Assessment Using Assumption-Alignment Tracking, Xuan Cao
Striking at the Root: A Categorization of DNS Clients, Tyler Dean
Open System Neural Networks, Bradley Hatch
GT-CHES and DyCon: Improved Classification for Human Evolutionary Systems, Joseph S. Johnson
Head Tail Open: Open Tailed Classification of Imbalanced Document Data, Chetan Joshi
Leveraging Biological Mechanisms in Machine Learning, Kyle J. Rogers
A Bilevel Approach to Resource Allocation for Utility-Based Request-Response Systems, Tanner Jack Sundwall
Usability-Driven Security Enhancements in Person-to-Person Communication, Tarun Kumar Yadav
Theses/Dissertations from 2023
Dispensing With Humans in Human-Computer Interaction Research, Courtni L. Byun
Ally Mediation of Social Media Use for Adults with Autism, Spring S. Cullen
Selection-based Convolution for Irregular Images and Graph Data, David Marvin Hart
A Game Theoretical Approach to Optimal Pitch Sequencing, William Melville
Zero and Few-Shot Concept Learning with Pre-Trained Embeddings, Jamison M. Moody
A Language-Model-Based Chatbot that Considers the User's Personality Profile and Emotions to Support Caregivers of People with Dementia, Yeganeh Nasiri
CountNet3D: A 3D Computer Vision Approach to Infer Counts of Occluded Objects with Quantified Uncertainty, Stephen W. Nelson
Designing Resilient Agents Using Grammatical Evolution, Behavior Trees, and Finite Linear Temporal Logic, Aadesh Neupane
Characterizing the Informativity of Level II Book Data for High Frequency Trading, Logan B. Nielsen
Simulating Government Institutions in Networked Societies, Michael Richards
Algorithmic Fidelity and the use of Large Language Models in Social Science Research, Christopher Michael Rytting
POPR: Probabilistic Offline Policy Ranking with Expert Data, Trevor F. Schwantes
Hierarchical Joint Entity Recognition and Relation Extraction of Contextual Entities in Family History Records, Daniel Segrera
The Influence of Political Media on Large Language Models: Impacts on Information Synthesis, Reasoning, and Demographic Representation, Alexander Glenn Shaw
Semantically Structured Creative Computer Systems & Automated Evaluation of Creative Artifacts, Brad Spendlove
More is Better than One: The Effect of Ensembling on Deep Learning Performance in Biochemical Prediction Problems, Jacob A. Stern
Extending Model Checking Using Inductive Proofs in Distributed Digital Currency Protocols, Kyle R. Storey
Task Distillation: Transforming Reinforcement Learning into Supervised Learning, Connor Wilhelm
Theses/Dissertations from 2022
Still No Crystal Ball: Toward an Application for Broad Evaluation of Student Understanding, Piper Armstrong
Enhancing the Opportunities for Adults with Autism to Find Jobs Using a Job-Matching Algorithm, Joseph T. Bills
How Failures Cascade in Software Systems, Barbara W. Chamberlin
A Visual Focus on Form Understanding, Brian Lafayette Davis
Evaluating Multi-Agent Modeller Representations, Jonathan Demke
Determining Figure Skating Jump Under-Rotation in Real-Time Using IMU Sensors During Practice, Duncan O. Furgeson
Using Machine Learning to Classify Volleyball Jumps, Miki Jauhiainen
A Usability Study of FIDO2 Hardware Tokens on Mobile Devices, Stephen Lambert
Towards Color-Based Two-Hand 3D Global Pose Estimation, Fanqing Lin
Symbolic Semantic Memory in Transformer Language Models, Robert Kenneth Morain
The Unexpected Effectiveness of Strategically Sparse Cooperation, Neal D. Munson
Characterizing Equivalence and Correctness Properties of Dynamic Mode Decomposition and Subspace Identification Algorithms, Samuel Gregory Neff
Efficient and Adaptive Decentralized Sparse Gaussian Process Regression for Environmental Sampling Using Autonomous Vehicles, Tanner A. Norton
Musical Phrase Segmentation via Grammatical Induction, Reed James Perkins
Leveraging Large Language Models Trained on Code for Symbol Binding, Joshua Robinson
Language Learning Using Models of Intentionality in Repeated Games with Cheap Talk, Jonathan Berry Skaggs
“If I could do this, I feel anyone could:” The Design and Evaluation of a Two-Factor Authentication Manager, Garrett D. Smith
Confronting Barriers to Human-Robot Cooperation: Balancing Efficiency and Risk in Machine Behavior, Tim Whiting
Theses/Dissertations from 2021
Modeling User Relationships in Online Communities of Creators, Berkeley Andrus
Reducing the Manual Annotation Effort for Handwriting Recognition Using Active Transfer Learning, Eric Burdett
Computing Agent Competency in First Order Markov Processes, Xuan Cao
Simple SSH Management, Torstein Calvin Collett
The DNS Bake Sale: Advertising DNS Cookie Support for DDoS Protection, Jacob Davis
Plot Extraction and the Visualization of Narrative Flow, Michael A. DeBuse
Improving Artistic Workflows For Fluid Simulation Through Adaptive and Editable Fluid Simulation Techniques, Sean A. Flynn
Interpretable Fine-Grained Visual Categorization, Pei Guo
Beware of IPs in Sheep's Clothing: Measurement and Disclosure of IP Spoofing Vulnerabilities, Alden Douglas Hilton
The "What"-"Where" Network: A Tool for One-Shot Image Recognition and Localization, Daniel Hurlburt
Predicting Human Behavior in Repeated Games with Attitude Vectors, Brian L. James
Turn of Phrase: Contrastive Pre-Training for Discourse-Aware Conversation Models, Roland Laboulaye
Exploring Non-Functional Coupling Between Subsystems, Matt Pope
A Usability Study of FIDO2 Roaming Software Tokens as a Password Replacement, Brian Rasmussen
Reinforcement Learning with Auxiliary Memory, Sterling Suggs
Deep Parameter Selection For Classic Computer Vision Applications, Michael Whitney
Theses/Dissertations from 2020
Facing the Hard Problems in FGVC, Connor Stanley Anderson
TRACE: A Differentiable Approach to Line-Level Stroke Recovery for Offline Handwritten Text, Taylor Neil Archibald
Methods for Generative Adversarial Output Enhancement, Michael B. Brodie
Geometric Extensions of Neural Processes, Andrew Newberry Carr
Ansible: Select-to-Edit for Physical Widgets, Benjamin M. Crowder
Managing Two-Factor Authentication Setup Through Password Managers, Jonathan William Dutson
Graph-Based Whole Genome Phylogenomics, Masaki Stanley Fujimoto
Retiming Smoke Simulation Using Machine Learning, Samuel Charles Gérard Giraud Carrier
Abstractions of Graph Models, Charles Addison Johnson
Supporting Support Engineers, Esdras Kutomi
Vulnerability Analysis of Infrastructure Systems, Sean Theodore Lane
Comparative Genomics Using the Colored de Bruijn Graph, Cole Andrew Lyman
On the Distribution of Inter-Arrival Times of 911 Emergency ResponseProcess Events, Blake Cameron Moss
Towards Cooperating in Repeated Interactions Without Repeating Structure, Huy Pham
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning, Christopher Michael Rytting
Metalearning by Exploiting Granular Machine Learning Pipeline Metadata, Brandon J. Schoenfeld
Multi-objective Intent-based Path Planning for Robots for Static and Dynamic Environments, Meher Talat Shaikh
Orientable Single-Distance Codes for Absolute Incremental Encoders, Kristian Brian Sims
Theses/Dissertations from 2019
Laying a Foundation for Computing in Outdoor Recreation, Zann Benjamin Anderson
Moderating Influence as a Design Principle for Human-Swarm Interaction, C Chace Ashcraft
Recommending Games to Adults with Autism Spectrum Disorder(ASD) for Skill Enhancement Using Minecraft, Alisha Banskota
Measuring Influence on Linear Dynamical Networks, Jaekob Chenina
Exploring the Relationship Between Vocabulary Scaling and Algorithmic Performance in Text Classification for Large Datasets, Wilson Murray Fearn
Semantically Aligned Sentence-Level Embeddings for Agent Autonomy and Natural Language Understanding, Nancy Ellen Fulda
Multi-Human Management of a Hub-Based Colony: Efficiency and Robustness in the Cooperative Best M-of-N Task, John Rolfes Grosh
Deep Synthetic Noise Generation for RGB-D Data Augmentation, Patrick Douglas Hammond
Light-Field Style Transfer, David Marvin Hart
After HTTPS: Indicating Risk Instead of Security, Matthew Wayne Holt
A Shared-Memory Coupled Architecture to Leverage Big Data Frameworks in Prototyping and In-Situ Analytics for Data Intensive Scientific Workflows, Alexander Michael Lemon
Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks, Chi Ho Leung
Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks, Chi Ho Leung
Necessary and Sufficient Conditions on State Transformations That Preserve the Causal Structure of LTI Dynamical Networks, Chi Ho Leung
Emergence of Collective Behaviors in Hub-Based Colonies using Grammatical Evolution and Behavior Trees, Aadesh Neupane
The Security Layer, Mark Thomas O'Neill
Video Prediction with Invertible Linear Embeddings, Robert Thomas Pottorff
Deep Learning for Document Image Analysis, Christopher Alan Tensmeyer
Representation and Reconstruction of Linear, Time-Invariant Networks, Nathan Scott Woodbury