Data management plan for the grant, "Collaborative Research: Engaging Blind and Visually Impaired Youth in Computer Science through Music Programming."

This paper describes a method for generating sense-tagged data using Wikipedia as a source of sense annotations. Through word sense disambiguation experiments, the authors show that the Wikipedia-based sense annotations are reliable and can be used to construct accurate sense classifiers.

Article utilizing active learning and support vector machine (SVM) algorithms to classify facial action units (AU) for human facial expression recognition. Experimental results show that the proposed algorithm can effectively suppress correlated noise and achieve higher recognition rates than principal component analysis and a human observer on seven different facial expressions.

Article addresses the processing of negation in Spanish by presenting a machine learning system that processes negation in Spanish and providing a qualitative error analysis aimed at understanding the limitations of the system and showing which negation cues and scopes are straightforward to predict automatically, and which ones are challenging.

This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achieve state-of-the-art results on both these tasks.

Article discussing an innovative project and design oriented electrical engineering curriculum at the University of North Texas.

This article discusses Open Mind Word Expert (OMWE), a system that aims to tap people's ability to disambiguate words and to give computers the benefit of people's knowledge.

Article reporting the high-temperature superlubricity phenomenon accomplished in coatings produced by burnishing powders of antimony trioxide (Sb₂O₃) and magnesium silicate hydroxide coated with carbon (MSH/C) onto the nickel superalloy substrate.

This paper discusses learning to identify educational materials.

This paper discusses efforts to attract and retain students in computer science and engineering fields.

This paper discusses an automatic method for generating sense tagged corpora.

This article detects fine-grained emotion types from health-related posts and shows how high-level and abstract features derived from deep neural networks combined with lexicon-based features can be employed to detect emotions.

This article discusses using the essence of texts to improve document classification.

This book chapter discusses predicting subjectivity orientation of online forum threads.

This paper discusses word sense and subjectivity.

This paper discusses creating annotated data collections.

Paper discussing thread specific features for identifying subjectivity orientation of online forum threads.

This article discusses text and structural data mining of influenza mentions in web and social media.

Patent relating to data compression.

Article describes how understanding the relationship among elemental compositions, nanolamellar microstructures, and mechanical properties enables the rational design of high-entropy alloys (HEAs). In this article the authors construct nanolamellar Alx-CoCuFeNi HEAs with alternating high- and low-Al concentration layers and explore their mechanical properties using a combination of molecular dynamic simulation and density functional theory calculation.

Video recording of the Closing Community Outreach Roundtable that wrapped up the Transdisciplinary Ancestral Genomic Research Investigations (TAGRI) II Conference. The conference was held online November 5-6, 2021.

Article is a study analyzing the global perceptions and perspectives towards COVID-19 vaccination using a worldwide Twitter dataset, natural language processing, and machine learning.

This article proposes a novel topology link control technique and mitigation attacks in real-time environments.

Patent relating to methods and systems for indoor navigation.