Theses/Project Reports from 2023
Analysis and Usage of Natural Language Features in Success Prediction of Legislative Testimonies, Marine Cossoul
PSF Sampling in Fluorescence Image Deconvolution, Eric A. Inman
Modeling Daily Fantasy Basketball, Martin Jiang
Simple Open-Source Formal Verification of Industrial Programs, Christopher Disney Peterson
Exploration of Semi-supervised Learning for Convolutional Neural Networks, Nicholas Sheffler
Shelfaware: Accelerating Collaborative Awareness with Shelf CRDT, John C. Waidhofer
Theses/Project Reports from 2022
Evaluation of Automatic Text Summarization Using Synthetic Facts, Jaewook Ahn
Out-of-Core GPU Path Tracing on Large Instanced Scenes via Geometry Streaming, Jeremy Berchtold
Artist-Configurable Node-Based Approach to Generate Procedural Brush Stroke Textures for Digital Painting, Keavon Chambers
A Design of a Digital Lockout Tagout System with Machine Learning, Brandon H. Chen
Patterns of Academic Help-Seeking in Undergraduate Computing Students, Augie Doebling
Predicting Startup Success Using Publicly Available Data, Emily Gavrilenko
Strainer: State Transcript Rating for Informed News Entity Retrieval, Thomas M. Gerrity
Legislative Language for Success, Sanjana Gundala
Implementation and Analysis of the Entity Component System Architecture, Shawn M. Harris
Specialized Named Entity Recognition for Breast Cancer Subtyping, Griffith Scheyer Hawblitzel
Impact of Teaching Practices and Communication Climates on Participation in Computer Science Education, Jackie Krone
A Research Framework and Initial Study of Browser Security for the Visually Impaired, Elaine Lau and Zachary Peterson
Increasing the Effectiveness of K-12 Stem Worshops Through Targeted Context and Creative Technolgies, Melina Lopez
Rasm: Compiling Racket to WebAssembly, Grant Matejka
Comparing Learned Representations Between Unpruned and Pruned Deep Convolutional Neural Networks, Parker Mitchell
Wildfire Risk Assessment Using Convolutional Neural Networks and Modis Climate Data, Sean F. Nesbit
Improving Relation Extraction from Unstructured Genealogical Texts Using Fine-Tuned Transformers, Carloangello Parrolivelli
Deep Learning for Detecting Trees in the Urban Environment from Lidar, Julian R. Rice