Theses/Dissertations from 2024
Extracting Social Network Model Parameters from Social Science Literature, Isaac Batts
Post-Capture Synthesis of Images Using Manipulable Integration Functions, Paul Eberhart
LANGUAGE MODELS FOR RARE DISEASE INFORMATION EXTRACTION: EMPIRICAL INSIGHTS AND MODEL COMPARISONS, Shashank Gupta
TENSION CONTROL AND INTERPROXIMATION TECHNIQUES FORSHAPE DESIGN AND RGB-DEPTH SEGMENTATION RECONSTRUCTION AND MODELING, Anastasia Kazadi
Finding Hierarchies to Improve Learning in Hierarchical Reinforcement Learning, Roy Mobley
Flexible Attenuation Fields: Tomographic Reconstruction From Heterogeneous Datasets, Clifford S. Parker
Detecting and Recovering From Player Preference Shifts In A Player Modeled Experience Management Environment, anton vinogradov
Theses/Dissertations from 2023
Small Approximate Pareto Sets with Quality Bounds, William Bailey
Machine-Learning-Powered Cyber-Physical Systems, Enrico Casella
PERSONALIZED POINT OF INTEREST RECOMMENDATIONS WITH PRIVACY-PRESERVING TECHNIQUES, Longyin Cui
Machine Learning Framework for Real-World Electronic Health Records Regarding Missingness, Interpretability, and Fairness, Jing Lucas Liu
Enabling DApps Data Exchange with Hardware-Assisted Secure Oracle Network, Yue Li
Improving Connectivity for Remote Cancer Patient Symptom Monitoring and Reporting in Rural Medically Underserved Regions, Esther Max-Onakpoya
A Secure and Distributed Architecture for Vehicular Cloud and Protocols for Privacy-preserving Message Dissemination in Vehicular Ad Hoc Networks, Hassan Mistareehi
Practical AI Value Alignment Using Stories, Md Sultan Al Nahian
Hard-Hearted Scrolls: A Noninvasive Method for Reading the Herculaneum Papyri, Stephen Parsons
Deep Learning Models for CT Image Standardization, Md Selim
Multi-agent Learning For Game-theoretical Problems, Kshitija Taywade
Peer-to-Peer Energy Trading in Smart Residential Environment with User Behavioral Modeling, Ashutosh Timilsina
The BASIL technique: Bias Adaptive Statistical Inference Learning Agents for Learning from Human Feedback, Jonathan Indigo Watson
Structured Attention for Image Analysis, Xin Xing
Multi-Domain Adaptation for Image Classification, Depth Estimation, and Semantic Segmentation, Yu Zhang
Theses/Dissertations from 2022
Learning a Scalable Algorithm for Improving Betweenness in the Lightning Network, Vincent Davis
Don't Give Me That Story! -- A Human-Centered Framework for Usable Narrative Planning, Rachelyn Farrell
