Now showing items 1-10 of 36
Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics
(2018)
Quantitative analysis of morphological changes in a cell nucleus is important for the understanding of nuclear architecture and its relationship with cell differentiation, development, proliferation, and disease. Changes ...
Learning Visual Representations from Cross-Modal Correspondence
(2024)
One of the goals of computer vision is to develop visual agents that can learn without human annotation. This is typically done by learning from images and their augmentations. In contrast, humans learn from dynamic and ...
Synthetic Data Sharing and Estimation of Viable Dynamic Treatment Regimes with Observational Data
(2020)
Significant public demand arises for rapid data-driven scientific investigations using observational data, especially in personalized healthcare. This dissertation addresses three complementary challenges of analyzing ...
Physical Activity and Psychological Well-Being in Older Adults
(2020)
A growing body of research suggests that physical activity (PA) is positively associated with psychological well-being in various populations. However, previous studies have predominantly focused on the preventive or ...
Experimentation Methodologies for Educational Research with an Emphasis on the Teaching of Statistics.
(2009)
In this thesis, I explore the state of quantitative research in the field of statistics education. First, a content review from several prominent sources in statistics education is conducted. Based on this review, ...
Multi-Modal Geometric Learning for Robot Localization
(2025)
Robot localization uses external sensor data to estimate a robot's position, but movements can alter vision measurements and learned features, impacting robustness. This thesis introduces a new perspective on multi-modal ...
Learning Dense Visual Features for the Sun and Natural Scenes
(2025)
We demonstrate simple methods for visual representation learning in two data-rich settings: the sun and natural scenes. We produce dense representations that are applicable to the following tasks: (1) improved hand and ...
Situated Language Grounding for Multimodal AI Assistant Modeling
(2025)
Building multimodal AI assistants that can perceive the physical world, communicate naturally with humans, and help with real-world tasks is a cornerstone of AI research. Situated language grounding—the ability to connect ...
Local Well-posedness of Free Boundary Relativistic Barotropic Fluid Equation in Minkowski Space-time
(2021)
In this dissertation, we study the motion of a relativistic barotropic fluid with a free boundary. Relativistic barotropic fluids are fluids whose density and pressure are directly related. Such fluids are used as models ...
Violence Exposure and Social Deprivation: Neural Connectivity Correlates and Protective Factors
(2021)
Dimensions of early adversity, such as violence exposure and social deprivation, may have different effects associated with socioemotional functioning in the developing brain and different factors may be protective. This ...