Machine Learning for Name Type Classification in Library Metadata (open access)

Machine Learning for Name Type Classification in Library Metadata

This paper describes a study to investigate automatic type classification using machine learning approaches.
Date: August 9, 2017
Creator: Phillips, Mark Edward & Chen, Jiangping
Object Type: Paper
System: The UNT Digital Library
Insights Into the Factors Influencing Student Motivation in Augmented Reality Learning Experiences in Vocational Education and Training (open access)

Insights Into the Factors Influencing Student Motivation in Augmented Reality Learning Experiences in Vocational Education and Training

This article attempts to identify some of the components that positively affect student motivation in mobile augmented reality (AR) learning experiences to contribute to the design and development of motivational AR learning experiences for the Vocational Education and Training (VET) level of education.
Date: August 21, 2018
Creator: Bacca, Jorge; Baldiris, Silvia; Fabregat, Ramon & Kinshuk
Object Type: Article
System: The UNT Digital Library
Discovering fake news embedded in the opposing hashtag activism networks on Twitter: #Gunreformnow vs. #NRA (open access)

Discovering fake news embedded in the opposing hashtag activism networks on Twitter: #Gunreformnow vs. #NRA

This article is a study investigating fake news included in political discourse of opposing activism hashtags, #Gunreformnow and #NRA (The National Rifle Association) and aims to lay out the process of identifying fake news in the hashtag activism network on Twitter.
Date: October 19, 2018
Creator: Chong, Miyoung
Object Type: Article
System: The UNT Digital Library
DEVO: an ontology to assist with dermoscopic feature standardization (open access)

DEVO: an ontology to assist with dermoscopic feature standardization

Article describes how the utilization of dermoscopic analysis is becoming increasingly critical for diagnosing skin diseases by physicians and even artificial intelligence. The authors aimed to develop a domain-specific ontology to formally represent knowledge for certain dermoscopic features.
Date: August 18, 2023
Creator: Zhang, Xinyuan; Lin, Rebecca Z.; Amith, Muhammad "Tuan"; Wang, Cynthia; Light, Jeremy; Strickley, John et al.
Object Type: Article
System: The UNT Digital Library