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404 Matching Results
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Approximating User Distributions in WCDMA Networks Using 2-D Gaussian
This paper discusses approximating user distributions in WCDMA networks using 2-D Gaussian.
Date:
July 2005
Creator:
Nguyen, Son & Akl, Robert G.
Object Type:
Paper
System:
The UNT Digital Library
Architecture Support for 3D Obfuscation
Article discussing research on architecture support for 3D obfuscation.
Date:
April 3, 2006
Creator:
Gomathisankaran, Mahadevan & Tyagi, Akhilesh
Object Type:
Article
System:
The UNT Digital Library
Artificial Intelligence for Colonoscopy: Past, Present, and Future
Article summarizing the past and present development of colonoscopy video analysis methods, focusing on two categories of artificial intelligence (AI) technologies used in clinical trials, (1) analysis and feedback for improving colonoscopy quality and (2) detection of abnormalities.
Date:
August 2021
Creator:
Tavanapong, Wallapak; Oh, JungHwan; Riegler, Michael; Khaleel, Mohammed I.; Mitta, Bhuvan & de Groen, Piet C.
Object Type:
Article
System:
The UNT Digital Library
Attention-Based Dense Point Cloud Reconstruction From a Single Image
Article proposes a two-stage training dense point cloud generation network.
Date:
September 23, 2019
Creator:
Lu, Qiang; Xiao, Mingjie; Lu, Yiyang; Yuan, Xiaohui & Yu, Ye
Object Type:
Article
System:
The UNT Digital Library
Attracting and Retaining Women in Computer Science and Engineering: Evaluating the Results
This paper discusses efforts to attract and retain students in computer science and engineering fields.
Date:
June 2007
Creator:
Keathly, David & Akl, Robert G.
Object Type:
Paper
System:
The UNT Digital Library
Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation
Authors of the article created an overall assessment metric using a deep learning autoencoder to directly compare clinical outcomes in a comparison of lower limb amputees using two different prosthetic devices—a mechanical knee and a microprocessor-controlled knee. The proposed methods were used on data collected from ten participants with a dysvascular transfemoral amputation recruited for a prosthetics research study.
Date:
October 18, 2022
Creator:
Tabashum, Thasina; Xiao, Ting; Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Jayaraman, Arun & Albert, Mark
Object Type:
Article
System:
The UNT Digital Library
Automated extraction of attributes from natural language attribute-based access control (ABAC) Policies
Article (1) developing a practical framework to extract authorization attributes of hierarchical ABAC system from natural language artifacts, and (2) generating a set of realistic synthetic natural language access control policies (NLACPs) to evaluate the proposed framework.
Date:
January 21, 2019
Creator:
Alohaly, Manar; Takabi, Hassan & Blanco, Eduardo
Object Type:
Article
System:
The UNT Digital Library
Automated measurement of quality of mucosa inspection for colonscopy
This paper from the International Conference on Computational Science conference proceedings presents new methods that derive a new quality metric for automated scoring of quality of mucosa inspection performed by the endoscopist.
Date:
May 31, 2010
Creator:
Liu, Xuemin; Tavanapong, Wallapak; Wong, Johnny; Oh, JungHwan & de Groen, Piet C.
Object Type:
Paper
System:
The UNT Digital Library
Automatic Extraction of Implicit Interpretations from Modal Constructions
This paper presents an approach to extract implicit interpretations from modal constructions.
Date:
November 2016
Creator:
Sanders, Jordan & Blanco, Eduardo
Object Type:
Paper
System:
The UNT Digital Library
Automatic Generation and Classification of Minimal Meaningful Propositions in Educational Systems
This paper introduces a new representation of sentences--Minimal Meaningful Propositions (MMPS), which allows significant improvement of the mapping between a learner's answer and the ideal response.
Date:
December 2016
Creator:
Godea, Andreea; Bulgarov, Florin & Nielsen, Rodney D.
Object Type:
Paper
System:
The UNT Digital Library
Automatic Generation and Scoring of Positive Interpretations from Negated Statements
This paper presents a methodology to extract positive interpretations from negated statements.
Date:
June 2016
Creator:
Blanco, Eduardo & Sarabi, Zahra
Object Type:
Paper
System:
The UNT Digital Library
Automatic generation of a coarse grained WordNet
This paper discusses automatic generation of a coarse grained WordNet.
Date:
June 2001
Creator:
Mihalcea, Rada, 1974- & Moldovan, Dan I.
Object Type:
Paper
System:
The UNT Digital Library
Automatic Identification of Research Articles from Crawled Documents
Paper from the Web-Scale Classification: Classifying Big Data from the Web Workshop. This paper proposes novel features that result in effective and efficient classification models for automatic identification of research articles.
Date:
February 28, 2014
Creator:
Caragea, Cornelia; Wu, Jian; Williams, Kyle; Das Gollapalli, Sujatha; Khabsa, Madian; Teregowda, Pradeep et al.
Object Type:
Article
System:
The UNT Digital Library
Automatic Keyword Extraction for Learning Object Repositories
This article discusses automatic keyword extraction for learning object repositories.
Date:
October 2008
Creator:
Coursey, Kino High; Mihalcea, Rada, 1974- & Moen, William E.
Object Type:
Paper
System:
The UNT Digital Library
An Automatic Method for Generating Sense Tagged Corpora
This paper discusses an automatic method for generating sense tagged corpora.
Date:
1999
Creator:
Mihalcea, Rada, 1974- & Moldovan, Dan I.
Object Type:
Paper
System:
The UNT Digital Library
Automatic trend detection: Time-biased document clustering
This article presents a novel approach of introducing a weighted temporal feature to bias a topic clustering toward articles in a similar time frame, performed over a set of finance journal abstracts from 1974 to 2020 to demonstrate how time can be emphasized in trend detection. The authors detect trending finance topics that are not identifiable when we use a standard clustering approach with no temporal bias.
Date:
March 2, 2021
Creator:
Behpour, Sahar; Mohammadi, Mohammadmahdi; Albert, Mark; Alam, Zinat S.; Wang, Lingling & Xiao, Ting
Object Type:
Article
System:
The UNT Digital Library
Autonomous Robot Localization Using WiFi Fingerprinting
This paper discusses autonomous robot localization using WiFi fingerprinting.
Date:
April 14, 2011
Creator:
Bunkley, Terrence; Wright, Alex & Namuduri, Kamesh
Object Type:
Paper
System:
The UNT Digital Library
BABYLON Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages
This paper discusses BABYLON parallel text builder.
Date:
May 2008
Creator:
Mohler, Michael & Mihalcea, Rada, 1974-
Object Type:
Paper
System:
The UNT Digital Library
Bacterial Community Profiling of Milk Samples as a Means to Understand Culture-Negative Bovine Clinical Mastitis
Article discussing a study that was conducted to understand the basis of a bacterial infection that is common among dairy cows.
Date:
April 25, 2013
Creator:
Kuehn, Joanna S.; Gorden, Patrick J.; Munro, Daniel; Rong, Ruichen; Dong, Qunfeng; Plummer, Paul J. et al.
Object Type:
Article
System:
The UNT Digital Library
BAM: A Block-Based Bayesian Method for Detecting Genome-Wide Associations with Multiple Diseases
Article proposes a novel Bayesian method, named BAM, for simultaneously partitioning Single Nucleotide Polymorphisms (SNPs) into Linkage Disequilibrium(LD)-blocks and detecting genome-wide multi-locus epistatic interactions that are associated with multiple diseases. Experimental results on the simulated datasets demonstrate that BAM is powerful and efficient.
Date:
April 16, 2020
Creator:
Guo, Xuan; Wu, Guanying & Xu, Baohua
Object Type:
Article
System:
The UNT Digital Library
Bayesian analysis of complex mutations in HBV, HCV, and HIV studies
This article provides a review of the Bayesian-inference-based methods applied to Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV) studies with a focus on the detection of the viral mutations and various problems which are correlated to these mutations. The authors also provide a summary of the Bayesian methods' applications toward these viruses' studies, where several important and useful results have been discovered.
Date:
April 4, 2019
Creator:
Guo, Xuan; Liu, Bing; Feng, Shishi & Zhang, Jing
Object Type:
Article
System:
The UNT Digital Library
Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long
This paper complements semantic role representations with spatial knowledge beyond indicating plain locations.
Date:
August 2016
Creator:
Vempala, Alakananda & Blanco, Eduardo
Object Type:
Paper
System:
The UNT Digital Library
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
Article is a study proposing an approach for blood cancer disease prediction using the supervised machine learning approach to perform blood cancer prediction with high accuracy using microarray gene data.
Date:
January 19, 2022
Creator:
Rupapara, Vaibhav; Rustam, Furqan; Aljedaani, Wajdi; Shahzad, Hina Fatima; Lee, Ernesto & Ashraf, Imran
Object Type:
Article
System:
The UNT Digital Library
A Bootstrapping Method for Building Subjectivity Lexicons for Languages with Scarce Resources
This article discusses a bootstrapping method for building subjectivity lexicons for languages with scarce resources.
Date:
May 2008
Creator:
Banea, Carmen; Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Object Type:
Paper
System:
The UNT Digital Library