Paper discussing the treatment of congestive heart failure. Abstract: Using a method of entropic analysis of time series we establish the correlation between heartbeat long-range memory and mortality risk in patients with congestive heart failure.

This paper is a reply to the comment by Helmstetter and Sornette titled "Intercluster correlation in Seismicity" which addresses an important point in a paper written by the authors that needs to be clarified.

This paper will examine ongoing work between two major preservation systems, the Chronopolis Digital Preservation Program, and the MetaArchive Cooperative.

This paper discusses letter level learning for language independent diacritics restoration.

Paper discussing fractional calculus tying the microscopic and macroscopic scales of complex network dynamics.

This paper from the 5th Asia Euro Conference 2014 conference proceedings explores the hedonic and utilitarian motives for patrons dining in fun experience restaurants.

This paper from the International Conference on Knowledge Management, ICKM 2016 conference proceedings investigates the factors influencing with the Knowledge Management use process in Information Technology enterprises in the Southern United States.

In this paper, the authors present a knowledge-based method for measuring the semantic-similarity of texts. Through experiments performed on two different applications: (1) paraphrase and entailment identification, and (2) word sense similarity, the authors show that this method outperforms the traditional text similarity metrics based on lexical matching.

In this paper, the authors design and implement a local session admission control (SAC) algorithm for third-generation wireless networks which allows for the simulation of network throughput for different spreading factors and various mobility scenarios.

Paper presented at the 2018 International Conference on Dublin Core and Metadata Applications Initiative (DCMI). This paper describes work underway at the University of North Texas (UNT) Libraries to design and implement interfaces and tools for analyzing metadata quality in their local metadata editing environment.

This paper describes an unsupervised graph-based method for word sense disambiguation, and presents comparative evaluations using several measures of word semantic similarity and several algorithms for graph centrality. The results indicate that the right combination of similarity metrics and graph centrality algorithms can lead to a performance competing with the state-of-the-art in unsupervised word sense disambiguation, as measured on standard data sets.

This paper describes a new approach for estimating term weights in a document, and shows how the new weighting scheme can be used to improve the accuracy of a text classifier.

This paper discusses parity assisted decision making for QAM modulation.

This paper discusses the use of Metadata Record Graphs as a way of generating network-based metrics for metadata in six digital library collections, and evaluates the usefulness of network analysis versus more standard statistical data.

This paper discusses assessing descriptive substance in free-text collection-level metadata. This paper reports on a content analysis of collection records in an aggregation of cultural heritage collections.

This paper discusses word sense disambiguation.

Survey developed as part of a research study related to transgender and gender non-conforming people's experience of workplace belonging in U.S. libraries. The survey was open for responses between September 1, 2023 and November 30, 2023. Results are not included in this document.

This article discusses the role of non-ambiguous words in natural language disambiguation.

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

This paper presents the results of the team of the University of North Texas in the Wikipedia image retrieval track of Image-CLEF-2010.

This paper was presented at the 2016 IFLA World Library and Information Congress News Media Satellite Meeting on News, new roles & preservation advocacy: moving libraries into action. This paper provides and overview of the partnership between the University of North Texas and the Dallas/Forth Worth affiliate station of the National Broadcasting Company (NBC 5/KXAS) to preserve the content of the oldest television news station in Texas, including discussions of copyright, funding, and access to audio/visual collections.

This paper presents an approach to automatic question generation that significantly increases the percentage of acceptable questions compared to prior state-of-the-art systems.

This paper describes a co-training approach that uses the text and citation information of a research article as two different views to predict the topic of an article.

This paper presents an aggregation approach that learns a regression model from crowdsourced annotations to predict aggregated labels for instances that have no expert adjudications.