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Theses/Dissertations from 2023

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Utilizing Natural Language Processing for Automated Clinical Text Review: Identification of Care Preference Documentation in Patients’ Discharge Summaries, Saksham Arora

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GeoRCF-GN: Geography-Aware State Prediction in Dynamic Networks, Barkin Cavdaroglu

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Connecting Linguistic Expressions and Pain Relief Through Transformer Model Construction and Analysis, Sarah M. Chacko

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Cyclic Mixed-Radix Dense Gray Codes, Jessica Cheng

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NOVEL GENERALIZATIONS AND ALGORITHMS FOR THE MAX-k-COVERAGE PROBLEM, Luc Cote

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An Empirical Study of Locality-Sensitive Hashing to Approximate the Minimum Spanning Tree, Elizabeth Crocker

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Investigating English-Language Dialect-Adjusted Models, Samiha Datta

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Interpreting Business Strategy and Market Dynamics: A Multi-Method AI Approach, Lobna Jbeniani

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An Algorithmic Approach to Jazz Guitar Voice-Leading Chord Fingerings, Matthew B. Keating

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Counterfactual Replacement Analysis for Interpretation of Blackbox Sexism Classification Models, Anders Knospe

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Sarcasm Detection in English and Arabic Tweets Using Transformer Models, Rishik Lad

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Unmasking Bias: Investigating Strategies for Minimizing Discrimination in AI Models, Julia L. Martin

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Data-Optimized Spatial Field Predictions for Robotic Adaptive Sampling: A Gaussian Process Approach, Zachary Nathan

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Predictive AI for the S&P 500 Index, Jacqueline Rose Perry

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Deep Learning for Skin Photoaging, Gokul Srinivasan

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Utilizing Mixed Graphical Network Models to Explore Parent Psychological Symptoms and Their Centrality to Parent Mental Health in Households with High Child Screen Usage, Piper F. Stacey, Nicholas C. Jacobson, and Damien Lekkas

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Exploring Improvements to Space-Bounded Derandomization from Better Pseudorandom Generators, Boxian Wang

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Stereotypes and Language Models: Understanding how language models encode stereotypes, debiasing language models, and examining how stereotypes affect conversations, Brian C. Wang

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The Dilemma of Disclosure: Designing Interpersonal Informatics Tools for Mood Tracking, Daniel Earl Westphal

Theses/Dissertations from 2022

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Towards a Computational Model of Narrative on Social Media, Anne Bailey

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Entity Based Sentiment Analysis for Textual Health Advice, Dae Lim Chung

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Symplectically Integrated Symbolic Regression of Hamiltonian Dynamical Systems, Daniel DiPietro

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Leveraging Context Patterns for Medical Entity Classification, Garrett Johnston

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Destabilizing Terrorist Networks, John Keane

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Determining American Sign Language Joint Trajectory Similarity Using Dynamic Time Warping (DTW), Rohith Mandavilli

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Designing narrative-based interfaces for collective action: A case study using Amazon, climate change, and consumer behavior, Catherine Parnell

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Machine Learning and the Network Analysis of Ethereum Trading Data, Santosh Sivakumar

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TorSH: Obfuscating consumer Internet-of-Things traffic with a collaborative smart-home router network, Adam Vandenbussche

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Analyzing Behavioral Adaptation to COVID-19 And Return To Pre-Pandemic Baselines in a Cohort of College Seniors, Vlado Vojdanovski

Theses/Dissertations from 2021

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The Discrete-Event Modeling of Administrative Claims (DEMAC) System: Dynamically modeling the U.S. healthcare delivery system with Medicare claims data to improve end-of-life care, Rachael Chacko

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An inside vs. outside classification system for Wi-Fi IoT devices, Paul Gralla

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Exploring the Long Tail, Joseph H. Hajjar

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Counting and Sampling Small Structures in Graph and Hypergraph Data Streams, Themistoklis Haris

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Exploring the Relationship Between Intrinsic Motivation and Receptivity to mHealth Interventions, Sarah Hong

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Lexical Complexity Prediction with Assembly Models, Aadil Islam

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Deterring Intellectual Property Thieves: Algorithmic Generation of Adversary-Aware Fake Knowledge Graphs, Snow Kang

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Exploring the Use of Social Media to Infer Relationships Between Demographics, Psychographics and Vaccine Hesitancy, Abhimanyu Kapur

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Fine-Grained Detection of Hate Speech Using BERToxic, Yakoob Khan

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Examining Polarized COVID-19 Twitter Discussion Using Inverse Reinforcement Learning, Sydney Lister

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A configurable social network for running IRB-approved experiments, Mihovil Mandic

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Improving existing methods for calculating embodied carbon emissions in trade through feature discovery: an information theoretic approach, Sam Morton

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Impulse Method for Shallow Water Simulation, Evan Muscatel

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Classifying Common Knee Rehabilitation Exercise Mistakes Using IMU Data, Fedor Myagkov

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Object Manipulation with Modular Planar Tensegrity Robots, Maxine Perroni-Scharf

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Physically Based Rendering Techniques to Visualize Thin-Film Smoothed Particle Hydrodynamics Fluid Simulations, Aditya H. Prasad

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Interpreting Attention-Based Models for Natural Language Processing, Steven J. Signorelli Jr

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Implementation and Optimization of PEG Parsers for Use on FPGAs, Shikhar Sinha

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Informative Journaling Application (Unwind) for Ambient Awareness on Mood in Young Adults to Reduce Anxiety and Depression: A randomized, placebo-controlled trial, Jalen Wang

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Producing Easy-to-Verify Proofs of Linearizability, Ugur Yavuz

Theses/Dissertations from 2020

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Information Network Navigation, Ryan W. Blankemeier

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Memory constraints in cued-recall-dependent learning and performance tasks: Why do humans struggle with simple yet memory-intensive tasks?, Jack L. Burgess

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Push-relabel algorithms for computing perfect matchings of regular bipartite multigraphs, Benjamin J. Coleman

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A Clustering Algorithm for Early Prediction of Controversial Reddit Posts, Abenezer Daniel Dara

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Towards Ryser's Conjecture: Bounds on the Cardinality of Partitioned Intersecting Hypergraphs, Anna E. Dodson

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Mining Academic Publications to Predict Automation, Elena A. Doty

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Digital Legacies for Digital Natives, Katie Goldstein

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Predicting Influencer Virality on Twitter, Danah K. Han

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A Critical Audit of Accuracy and Demographic Biases within Toxicity Detection Tools, Jiachen Jiang

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Probabilistic Error Upper Bounds For Distributed Statistical Estimation, Matthew Jin

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Learning Humor Through AI: A Study on New Yorker's Cartoon Caption Contests Using Deep Learning, Ray Tianyu Li

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A computational approach to analyzing and detecting trans-exclusionary radical feminists (TERFs) on Twitter, Christina T. Lu

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VR-Notes: A Perspective-Based, Multimedia Annotation System in Virtual Reality, Justin Luo

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Query Free Adversarial Transfer via Undertrained Surrogates, Christopher S. Miller

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Restoring Humanity to Those Dying Below: An Inquiry Concerning the Ethics of Autonomous Weapons Systems, Juliette A. Pouchol

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Regression-based motion planning, Josiah K. Putman

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Autonomous Eye Tracking in Octopus bimaculoides, Mark Andrew Taylor

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Label Noise Reduction Without Assumptions, Jason Wei

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Automatic Generation of Input Grammars Using Symbolic Execution, Linda Xiao

Theses/Dissertations from 2019

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Convergence Times of Decentralized Graph Coloring Algorithms, Paul B. de Supinski

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Orthogonal Array Sampling for Monte Carlo Based Rendering, Afnan Enayet

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Fair Algorithms for Clustering, Nicolas J. Flores

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Evaluating the Efficacy of Magnetometer-Based Vehicle Sensors, Luke A. Hudspeth

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Multi-Ontology Refined Embeddings (MORE): A Hybrid Multi-Ontology and Corpus-based Semantic Representation for Biomedical Concepts, Steven Jiang

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Twitter Bot Detection in the Context of the 2018 US Senate Elections, Wes Kendrick

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Application of Binary Search to Video Annotation and Behavior Tracking for the Social Sciences, Caitlyn Lee

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Is Augmented Reality in Denial of the Convention? Examining the Presence of Uncanny Valley in Augmented Reality, Sung Jun Park

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Comparing brain-like representations learned by vanilla, residual, and recurrent CNN architectures, Cara E. Van Uden

Theses/Dissertations from 2018

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Securing, Standardizing, and Simplifying Electronic Health Record Audit Logs Through Permissioned Blockchain Technology, Jessie Anderson

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IPv6 Security Issues in Linux and FreeBSD Kernels: A 20-year Retrospective, Jack R. Cardwell

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Thinking Inside the Box: Converting Encapsulated PostScript to Scalable Vector Graphics, Trevor L. Davis

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Overlaying Virtual Scale Models on Real Environments Without the Use of Peripherals, George Hito

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Robotic Laundry Folding, Evan Honnold

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Balancing patient control and practical access policy for electronic health records via blockchain technology, Elena Horton

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Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization, Bruno Korbar

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Full and Dense Cyclic Gray codes in Mixed Radices, Devina Kumar

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Navigating Virtual Reality Using Only Your Gazes and Mind, Christopher J. Kymn

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The Next Generation of EMPRESS: A Metadata Management System For Accelerated Scientific Discovery at Exascale, Margaret R. Lawson

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DartDraw: The Design and Implementation of Global State Management, User Interaction Management, and Text in a React-Redux Drawing Application, Collin M. McKinney

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PyMOL Plugin to Build Protein Structures Based on Natural TERM Overlaps, Noah T. Paravicini

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Reflections on Building DartDraw: A React + Redux Vector-Based Graphics Editor, Elisabeth G. Pillsbury

Theses/Dissertations from 2017

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Accuracy and Racial Biases of Recidivism Prediction Instruments, Julia J. Dressel

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Dense Gray Codes in Mixed Radices, Jessica C. Fan

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Using Computational Models to Understand ASD Facial Expression Recognition Patterns, Irene L. Feng

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OpenCollab: A Blockchain Based Protocol to Incentivize Open Source Software Development, Yondon Fu

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ShareABEL: Secure Sharing of mHealth Data through Cryptographically-Enforced Access Control, Emily Greene

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Cryptographic transfer of sensor data from the Amulet to a smartphone, David B. Harmon

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A HoloLens Application to Aid People who are Visually Impaired in Navigation Tasks, Jonathan L. Huang

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NovenaNetwork: A Catholic Social Media iOS Application for Praying Novenas as a Community, Marissa Le Coz

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Assemble.live: Designing for Schisms in Large Groups in Audio/Video Calls, Benjamin P. Packer

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Scene classification from degraded images: comparing human and computer vision performance, Tim M. Tadros