Search results | J. Murrey Atkins Library

Title: ARTIFICIAL FINANCIAL MARKET: AN AGENT-BASED APPROACH TO MODELING THE INFLUENCE OF TRADERS CHARACTERISTICS ON EMERGENT MARKET PHENOMENA
Author: Kamyab Hessary, Yasaman
Date Created: 2018
Subjects--Topical: Computer science, Information technology
Description: Financial markets play a critical role in today's societies and are extremely important to the general health and efficiency of an economy. Solid understanding of the behavior of financial markets can benefit investors, governing organizations and...

Title: Aviatar- An Augmented Reality System to Improve Pilot Performance for Unmanned Aerial Systems
Author: Abbott, Robert
Date Created: 2021
Subjects--Topical: Computer science, Aerospace engineering, Cognitive psychology
Description: In the modern airspace, small unmanned aircraft systems (UAS) such as drones are becoming increasingly popular with both amateur enthusiasts as well as professional pilots. In the three years following the initiation of the small drone registratio...

Title: Behavioral Health Stigma: Breaking the code with Stigma Index
Author: Tokmic, Farah
Date Created: 2018
Subjects--Topical: Medical sciences, Information science
Description: Social labeling of people with behavioral health disorders falls under the umbrella of "stigma" and plays a key role in limiting the access to behavioral healthcare. Currently, the U.S. spends an estimated $201B on behavioral health disorders ever...

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: Cognitive biases in decision-making under uncertainty with interactive data visualizations
Author: Wesslen, Ryan
Date Created: 2021
Subjects--Topical: Computer science, Cognitive psychology, Information science
Description: In this thesis, we hypothesize that data visualization users are subject to systematic errors, or cognitive biases, in decision-making under uncertainty. Based on research from psychology, behavioral economics, and cognitive science, we design fiv...

Title: Deep Learning for Sentiment and Emotion Detection in Multilingual Contexts
Author: Abdullah, Malak
Date Created: 2018
Subjects--Topical: Computer science
Description: Social media is growing as a communication medium where people can express online their feelings and opinions on a variety of topics in ways they rarely do in person. Detecting sentiments and emotions in texts have gained a considerable amount of ...

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 a Recommender System for Pricing Contemporary Fine Art
Author: Powell, Laurel
Date Created: 2020
Subjects--Topical: Computer science
Description: The art market is a large and growing part of the global economy. However, uncertainty about prices, which can be problematic for many shareholders, can inhibit the growth of this market. This work discusses methods for the development of a knowle...

Title: Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Author: Seyeditabari, Narjessadat
Date Created: 2018
Subjects--Topical: Computer science, Artificial intelligence
Description: An investment theory called the efficient market hypothesis (EMH) claims that it is impossible to outperform the market, and therefore, stocks always trade at a fair value. An important assumption of EMH is that all investors make decisions ration...

Title: Leveraging Visual Analytics for Modeling Online User Behavior on Social Media
Author: ElTayeby, Omar
Date Created: 2020
Subjects--Topical: Computer science
Description: Analysts and domain experts in various fields rely on collecting data about their subjects to understand and predict their behavior. Characterizing and modeling human behavior requires analyzing extensive amounts of data from heterogeneous sources...

Title: Sentiment Analysis on Verbal Data from Team Discussions As an Indicator of Individual Performance
Author: Dehbozorgi, Nasrin
Date Created: 2020
Subjects--Topical: Computer science, Education
Description: The inherently complex nature of evaluating teamwork calls for methods to measure and predict students’ performance and provide timely feedback. Analyzing students’ individual performance, particularly in low-stake teams, is a challenge since the ...

Title: Topological Data Analysis in Text Processing
Author: Gholizadeh, Shafie
Date Created: 2020
Subjects--Topical: Computer science
Description: 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 inference in data mining and generally data science is recent, while computational...

Title: Towards Effective Third-Party Application Dialogs: Solutions for Improved Attention and Comprehension
Author: Javed, Yousra
Date Created: 2017
Subjects--Topical: Computer science
Description: Computer security dialogs communicate important information to users. One avenue where such dialogs are presented are third-party applications, which play an important role in enhancing a user's experience and are popular in online social networks...

Title: Towards an Understanding of the Impact of Uncertainty and Emotional Content on Users' Decision-making About Misinformation
Author: Karduni, Alireza
Date Created: 2020
Subjects--Topical: Computer science, Communication, Cognitive psychology
Description: Misinformation on social media is a phenomenon with considerable impacts on our societies. To effectively mitigate its effects, we need to employ a cross-disciplinary effort to holistically address the critical elements involved in the process, in...

Title: UNDERSTANDING SOCIAL MOVEMENTS THROUGH SIMULATIONS OF ANGER CONTAGION IN SOCIAL MEDIA
Author: Bacaksizlar, Nazmiye
Date Created: 2019
Subjects--Topical: Sociology, Information technology, System theory
Description: This dissertation investigates emotional contagion in social movements within social media platforms, such as Twitter. The main research question is: How does a protest behavior spread in social networks? The following sub-questions are: (a) What ...