This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses.

This presentation gives an overview of code division multiple access (CDMA), traffic and mobility models, subscriber optimization formulation, and numerical results.

This paper discusses subscriber maximization in CDMA cellular networks.

This paper discusses dynamic agent population in agent-based distance vector routing.

This paper discusses multilingual subjectivity.

This paper analyses user messages on an online cancer support community, Cancer Survivors Network (CSN), to identify the two types of social support present: emotional support and informational support.

Paper on co-training over domain-independent and domain-dependent features for sentiment analysis of an online cancer support community.

Data management plan for the grant "Integrating multi-omics datasets to infer phenotype-specific driver genes, regulatory interactions and drug response." Research to develop open source integrative computational tools that perform secondary analysis of publicly available multi-omics biological, clinical and environmental exposure datasets to infer context-specific regulatory interactions and modules, and to predict disease associated genes and patient-specific drug response.

Patent relating to methods for detection of driving conditions and habits.

Data management plan for the grant, "GenCyber Teachers Camp." The goal of the UNT GenCyber Teacher Camp is to increase the cybersecurity expertise of middle and high school Computer Science teachers so that they can introduce cybersecurity curriculum into their classrooms. We will recruit 20 teachers who teach Computer Science and STEM-related middle/high school courses. We will create modules that teachers can use to create positive environments for students and thus to motivate them to gain interest in cybersecurity.

This paper proposes PositionRank, an unsupervised model for keyphrase extraction from scholarly documents that incorporates information from all positions of a word's occurrences into a biased PageRank.

Paper presents a model that simulates the 2013–2014 French Polynesia Zika outbreak, incorporating the temperature dependent mosquito ecology and the local transit network (flights and ferries), highlighting the importance of human travel patterns and mosquito population dynamics in a disease outbreak.

This article presents the results of a prospective study investigating a proof-of-concept, smartphone-based, online system for fall detection and notification. Apart from functioning as a practical fall monitoring instrument, this system may serve as a valuable research tool, enable future studies to scale their ability to capture fall-related data, and help researchers and clinicians to investigate real-falls.

This paper discusses cross-lingual semantic relatedness using encyclopedic knowledge.

Data management plan for the grant, "CICI: UCSS: Secure Containers in High-Performance Computing Infrastructure." Ensuring the security and privacy of high-performance computing (HPC) infrastructures is of utmost importance due to their handling of sensitive data and critical scientific computations. HPC infrastructures commonly employ containers, which provide lightweight and isolated environments for running applications. Nevertheless, containers in HPC infrastructures encounter security challenges, including insecure container images and vulnerabilities related to isolation. Existing container image scanners face a major challenge of low coverage, while current container runtimes struggle to ensure both security and performance for HPC workloads simultaneously. This project addresses these challenges by developing secure containers specifically tailored for HPC infrastructures. The project introduces innovative solutions, including the development of an efficient image vulnerability scanner and a secure container runtime.

This article proposes a novel flower classification method that combines enhanced VGG16 (E-VGG16) with decision fusion.

Article proposes a strategy called Dynamic Bank Partitioning (DBP), which allocates memory banks to different applications based on their memory access characteristic, and also proposes an adaptive method to dynamically select an optimal page policy for each bank according to the characteristics of memory accesses that each bank receives to further reduce power consumption.

This paper introduces several extractive approaches for automatic image tagging, relying exclusively on information mined from texts. Through evaluations on two datasets, the authors show that their methods exceed competitive baselines by a large margin, and compare favorably with the state-of-the-art that uses both textual and image features.

This paper discusses instance based learning with automatic feature selection applied to word sense disambiguation.

This article discusses word sense disambiguation based on semantic density.

This article discusses PageRank on semantic networks, with application to word sense disambiguation.

Data management plan for the grant, "SaTC: CORE: Small: Probing Fairness of Ocular Biometrics Methods Across Demographic Variations."

This article discusses a web-based multi-genome synteny viewer for customized data.

Datasets used in the presentation, "Towards Building a Collection of Web Archiving Research Articles." The files included here were used to conduct several Machine Learning classification experiments that result in a corpus of scholarly research articles on the topic of web archiving.