This research analyzes different aspects of housing market dynamics and policies, focusing on the implications for inequality, housing cost, access to housing, and neighb[...]

The coronavirus pandemic is a pervasive event that has had a drastic impact on countries globally. In the United States alone there have been over 98 million Covid-19 cas[...]

With the rapid increase of the cyber-attacks, threat information sharing has become essential to understand and defend against cyber-attack in a timely and cost-effective[...]

In this dissertation document, we describe the potential for Information Extraction, Information Retrieval, and Machine Learning methods to improve the process of analyzi[...]

A Biomedical Question Answering system allows biomedical experts to use unstructured knowledge in a more effective way. Our system can index vast majority of biomedical a[...]

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

With the widespread use of computers and networks today, cybersecurity has emerged as a crucial concern for many businesses as they fight with growing cyber threats by vu[...]

Websites remain popular targets for Cross-Site Scripting (XSS) attacks. Although the prevalence of XSS attacks is on the rise, many developers do not have the cybersecuri[...]

In recent years, emotion detection in text has become increasingly popular because of its many potential applications in a range of areas, such as marketing, political sc[...]

Historically, most virtual human character research focuses on realism/emotions, interaction with humans, and discourse. The majority of the spatial positioning of charac[...]