The black lives matter movement has risen in response to social injustices in the African-American community in the United States, specifically concerned with police shoo[...]

This dissertation explores the potential of natural language models, including large language models, to extract causal relations from medical texts, specifically from Cl[...]

In this thesis, we hypothesize that data visualization users are subject to systematic errors, or cognitive biases, in decision-making under uncertainty. Based on researc[...]

This dissertation examines how different emotion measurement approaches—self-report, other-report, and artificial intelligence (AI)-based emotion detection—relate to one [...]

Outages that occur in power distribution systems can seriously endanger system operation in different ways. In recent years, with the explosion in data gathering within t[...]

With the growth of the technology-driven world, today many designs and analyzes depend on smart software to address different computational concepts. In the meantime, loc[...]

The main goal of learning analytics and early detection systems is to extract knowledge from student data to understand students’ trends of activities towards success and[...]

In recent years, machine learning systems, particularly deep learning architectures, transformer models, and large language models (LLMs), have achieved remarkable succes[...]

Data science has become increasingly popular as a methodological approach for advancing theory and practice. However, significant concerns exist as to how bias can manife[...]

Spatiotemporal visual analysis research is rapidly emerging and evolving, as scientists engaging in cross-domain research efforts, introducing novel systems to perform da[...]