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[...]

Predictive Analytics is an advanced branch of data analytics that deals with making future predictions that matter to the industry\cite{6}.It has wide applications in the[...]

Deep Learning has been the go-to tool for text summarization in the recent times.Traditional deep learning research focuses on performing abstractive text summarizationwi[...]

Topological Data Analysis denotes the set of algorithms and methods to define and retrieve the underlying structure of the shapes in the data. Utilizing topological infer[...]

Healthcare spending has been increasing in the last few decades. One of the main reasons for this increase is hospital readmissions, which is defined as a rehospitalizati[...]

Virtual Humans (VHs) are highly efficient and effective task oriented tools for various social and collaborative environments. VHs have the ability to replicate human lik[...]

This dissertation presents a novel data-driven approach to solve the problem of improving customer loyalty and customer retention. The data mining concepts of action rule[...]

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[...]