Time-oriented data analysis has attracted the attention of researchers for decades, across many research domains, including but not limited to medical records, business, [...]

Sentiment analysis for text classification generally refers to assessing the polarity of the emotional context of written text, whether in a binary (e.g. positive or nega[...]

Social behaviors of students play a significant role in the classroom atmosphere and also the way it impacts students’ learning interests. In addition, socially acceptabl[...]

As science advances, the academic community has published millions of research papers. Researchers devote time and effort to search relevant manuscripts when writing a pa[...]

Recent research development has demonstrated the advantages of deep learning models in prediction tasks on electronic health records (EHR) in the medical domain. However,[...]

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[...]

The development of in-memory technologies has fueled the emerging of in-memory computing systems. Simultaneously, with novel memory technologies such as high-bandwidth me[...]

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

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

A restaurant dinner can become a memorable experience due to an unexpected aspect that is appreciated by the customer, such as an origami-making station in the waiting ar[...]