Search results | J. Murrey Atkins Library

Title: Automated Classification and Mitigation of Cybersecurity Vulnerabilities
Author: Aghaei, Ehsan
Date Created: 2022
Subjects--Topical: Computer science
Description: 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 vulnerability exploitation. To identify and mitigate zero-day or unpatched vuln...

Title: Citation Recommendation on Graph
Author: Jia, Haofeng
Date Created: 2018
Subjects--Topical: Computer science, Artificial intelligence
Description: As science advances, the academic community has published millions of research papers. Researchers devote time and effort to search relevant manuscripts when writing a paper or simply to keep up with current research. In this dissertation, we cons...

Title: Detecting Discrete Emotions in Text Using Neural Networks
Author: Seyeditabari, Seyed Armin
Date Created: 2020
Subjects--Topical: Computer science, Artificial intelligence
Description: 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 science, psychology, human-computer interaction, artificial intelligence. Acces...

Title: Developing Temporal Machine Learning Approaches to Support Modeling, Explaining, and Sensemaking of Academic Success and Risk of Undergraduate Students
Author: Nur, Nasheen
Date Created: 2021
Subjects--Topical: Artificial intelligence, Education
Description: 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 risk and design intervention methods to improve learning performance and exp...

Title: Granular Emotion Detection for Multi-class Sentiment Analysis in Social Media
Author: Frye, Robert
Date Created: 2022
Subjects--Topical: Computer science
Description: 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 negative) or trinary (e.g. positive, neutral, or negative) state. Granular emotio...

Title: Knowledge extraction and analysis of medical text with particular emphasis on medical guidelines
Author: Hematialam, Hossein
Date Created: 2021
Subjects--Topical: Computer science
Description: In this dissertation document, we describe the potential for Information Extraction, Information Retrieval, and Machine Learning methods to improve the process of analyzing medical texts and, in particular, Clinical Practice Guidelines (CPGs).We p...

Title: MODELING UNCERTAINTY IN DEEP LEARNING MODELS OF ELECTRONIC HEALTH RECORDS
Author: Qiu, Riyi
Date Created: 2020
Subjects--Topical: Information technology
Description: Recent research development has demonstrated the advantages of deep learning models in prediction tasks on electronic health records (EHR) in the medical domain. However, the prediction results tend to be difficult to explain due to the complex ne...

Title: Optimizing Performance of In-memory Computing with Hybrid Memory System
Author: Rang, Wei
Date Created: 2021
Subjects--Topical: Computer science
Description: The development of in-memory technologies has fueled the emerging of in-memory computing systems. Simultaneously, with novel memory technologies such as high-bandwidth memory (HBM) and non-volatile memory (NVM), hybrid memory systems are expected ...

Title: Personalized Summarization with Shared Attention and Concept Spaces
Author: Mehedint, Mihai
Date Created: 2019
Subjects--Topical: Computer science
Description: The information available to users is overwhelming in today’s world. Therefore, it is essential to filter and convey only the essential information in a personalized fashion. We explored the automatic summarization of text as a means to address th...

Title: Student Sequence Model: A Temporal Model for Exploring and Predicting Risk from Heterogeneous Student Data
Author: Mahzoon, Mohammad Javad
Date Created: 2018
Subjects--Topical: Education, Information technology
Description: Data models built for analyzing student data often obfuscate temporal relationships for reasons of simplicity, or to aid in generalization. We present a sequence model that is based on temporal relationships in heterogeneous student data as the ba...

Title: Visual Analytics Approaches to Exploring Multivariate Time Series Data
Author: Feng, Tinghao
Date Created: 2021
Subjects--Topical: Computer science
Description: Time-oriented data analysis has attracted the attention of researchers for decades, across many research domains, including but not limited to medical records, business, science, engineering, biographies, history, planning, and project management....