The increasing performance of feature extraction and regression modeling in various domains raises the hope for machine and deep learning to assist clinicians in numerous[...]

I show that by applying discourse features derived through topological data analysis(TDA), namely homological persistence, we can improve classification results on thetas[...]

Background: Individuals may use unhealthy coping mechanisms such as alcohol, tobacco, and unhealthy snack consumption. The purpose of this study was to assess how neighbo[...]

Text analytics represent a set of scalable techniques that mine unstructured and semi-structured textual resources in order to extract useful knowledge for performing a t[...]

Recent advances in the field of Natural Language Processing, specifically in Natural Language Generation (NLG) towards Dialogue Systems have focused mainly on two-party c[...]

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[...]

Healthcare, among other domains, provides an attractive ground of work for knowledge discovery researchers. There exist several branches of health informatics and health [...]

Simulation-based methods are becoming a promising research tool in financial markets. A general Complex Adaptive System can be tailored to different application scenarios[...]

Recent work in image manifold learning has shown the prevalence of unsupervised methods that provide compact representation and perceptually meaningful organization of im[...]