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Theses/Dissertations from 2024

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Extracting Social Network Model Parameters from Social Science Literature, Isaac Batts

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Post-Capture Synthesis of Images Using Manipulable Integration Functions, Paul Eberhart

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LANGUAGE MODELS FOR RARE DISEASE INFORMATION EXTRACTION: EMPIRICAL INSIGHTS AND MODEL COMPARISONS, Shashank Gupta

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TENSION CONTROL AND INTERPROXIMATION TECHNIQUES FORSHAPE DESIGN AND RGB-DEPTH SEGMENTATION RECONSTRUCTION AND MODELING, Anastasia Kazadi

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Flexible Attenuation Fields: Tomographic Reconstruction From Heterogeneous Datasets, Clifford S. Parker

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Detecting and Recovering From Player Preference Shifts In A Player Modeled Experience Management Environment, anton vinogradov

Theses/Dissertations from 2023

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Small Approximate Pareto Sets with Quality Bounds, William Bailey

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Machine-Learning-Powered Cyber-Physical Systems, Enrico Casella

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PERSONALIZED POINT OF INTEREST RECOMMENDATIONS WITH PRIVACY-PRESERVING TECHNIQUES, Longyin Cui

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Deep Learning-Based Intrusion Detection Methods for Computer Networks and Privacy-Preserving Authentication Method for Vehicular Ad Hoc Networks, Ayesha Dina

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Machine Learning Framework for Real-World Electronic Health Records Regarding Missingness, Interpretability, and Fairness, Jing Lucas Liu

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Enabling DApps Data Exchange with Hardware-Assisted Secure Oracle Network, Yue Li

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Improving Connectivity for Remote Cancer Patient Symptom Monitoring and Reporting in Rural Medically Underserved Regions, Esther Max-Onakpoya

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A Secure and Distributed Architecture for Vehicular Cloud and Protocols for Privacy-preserving Message Dissemination in Vehicular Ad Hoc Networks, Hassan Mistareehi

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Practical AI Value Alignment Using Stories, Md Sultan Al Nahian

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Hard-Hearted Scrolls: A Noninvasive Method for Reading the Herculaneum Papyri, Stephen Parsons

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Deep Learning Models for CT Image Standardization, Md Selim

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Multi-agent Learning For Game-theoretical Problems, Kshitija Taywade

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Peer-to-Peer Energy Trading in Smart Residential Environment with User Behavioral Modeling, Ashutosh Timilsina

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The BASIL technique: Bias Adaptive Statistical Inference Learning Agents for Learning from Human Feedback, Jonathan Indigo Watson

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Structured Attention for Image Analysis, Xin Xing

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Multi-Domain Adaptation for Image Classification, Depth Estimation, and Semantic Segmentation, Yu Zhang

Theses/Dissertations from 2022

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Learning a Scalable Algorithm for Improving Betweenness in the Lightning Network, Vincent Davis

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Don't Give Me That Story! -- A Human-Centered Framework for Usable Narrative Planning, Rachelyn Farrell

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Image Geo-localization with Cross-Attention, Connor Greenwell