UNT Scholarly Works - 255 Matching Results

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911 Services and Vital Sign Measurement Utilizing Mobile Phone Sensors and Applications
Patent relating to improved methods for utilizing 911 services and for implementing 911 dispatch protocols by accessing mobile phone sensors and applications.
Abstraction Augmented Markov Models
Article discussing the abstraction augmented Markov models.
Agent-based Distance Vector Routing: A Resource Efficient and Scalable approach to Routing in Large Communication Networks
Article discussing a resource efficient and scalable approach to routing in large communication networks.
An Algorithm for Open Text Semantic Parsing
This paper describes an algorithm for open text shallow semantic parsing.
Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation
In this paper, the authors discuss research on whether they can use Mechanical Turk (MTurk) to acquire goo annotations with respect to gold-standard data, whether they can filter out low-quality workers (spammers), and whether there is a learning effect associated with repeatedly completing the same kind of task.
Anchor Nodes Placement for Effective Passive Localization
This paper discusses anchor nodes placement for effective passive localization. The authors show that, for effective passive localization, the optimal placement of the anchor nodes is at the center of the network in such a way that no three anchor nodes share linearity.
Annotating and Identifying Emotions in Text
This book chapter discusses annotating and identifying emotions in text.
Answering complex, list and context questions with LCC's Question-Answering Server
This paper presents the architecture of the Question-Answering server (QAS) developed at the Language Computer Corporation (LCC) and used in the TREC-10 evaluations.
Apparatus and Method for Transmitting Secure and/or Copyrighted Digital Video Broadcasting Data over Internet Protocol Network
Patent relating to an apparatus and method for transmitting secure and/or copyrighted digital video broadcasting data over internet protocol network.
Approximating User Distributions in WCDMA Networks Using 2-D Gaussian
This paper discusses approximating user distributions in WCDMA networks using 2-D Gaussian.
Architecture Support for 3D Obfuscation
Article discussing research on architecture support for 3D obfuscation.
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.
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.
Automatic Extraction of Implicit Interpretations from Modal Constructions
This paper presents an approach to extract implicit interpretations from modal constructions.
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.
Automatic Generation and Scoring of Positive Interpretations from Negated Statements
This paper presents a methodology to extract positive interpretations from negated statements.
Automatic generation of a coarse grained WordNet
This paper discusses automatic generation of a coarse grained WordNet.
Automatic Keyword Extraction for Learning Object Repositories
This article discusses automatic keyword extraction for learning object repositories.
An Automatic Method for Generating Sense Tagged Corpora
This paper discusses an automatic method for generating sense tagged corpora.
Autonomous Robot Localization Using WiFi Fingerprinting
This paper discusses autonomous robot localization using WiFi fingerprinting.
BABYLON Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages
This paper discusses BABYLON parallel text builder.
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.
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.
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.
Building a Sense Tagged Corpus with Open Mind Word Expert
This paper discusses building a sense tagged corpus with Open Mind Word Expert, an implemented active learning system for collecting word sense tagging from the general public over the Web.
Building Multilingual Semantic Networks with Non-Expert Contributions over the Web
This paper discusses building multilingual semantic networks.
Call Admission Control Scheme for Arbitrary Traffic Distribution in CDMA Cellular Systems
This presentation discusses call admission control (CAC). The authors define a set of feasible call configurations that results in a CAC algorithm that captures the effect of having an arbitrary traffic distribution and whose complexity scales linearly with the number of cells.
Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control
This paper discusses capacity allocation in multi-cell UMTS networks.
Capacity Allocations in Multi-cell UMTS Networks for Different Spreading Factors with Perfect and Imperfect Power Control [Presentation]
This presentation discusses user and interference models, wideband code division multiple access (WCDMA) capacity with perfect and imperfect power control, and spreading factors with numerical results.
CCAP: A Strategic Tool for Managing Capacity of CDMA Networks
This presentation discusses CCAP, a strategic tool for managing capacity of CDMA networks. CCAP is a graphical interactive tool for CDMA that calculates the coverage area, call capacity of a CDMA network, and subscriber network performance to optimize capacity.
CDMA Network Design
This presentation gives an overview of code-division multiple access (CDMA) and inter-cell effects, network capacities, sensitivity analysis of base station locations, pilot-signal power, and transmission power of the mobiles, and concludes with numerical results.
Cell Design to Maximize Capacity in CDMA Networks
This presentation discusses the code division multiple access (CDMA) inter-cell effects, capacity regions, maximizing network capacity, mobility, a call admission control algorithm, and network performance.
Cell Placement in a CDMA Network
This presentation discusses research on cell placement in a CDMA network. In order to enable iterative cell placement the authors use a computationally efficient iterative process to calculate the inter-cell and intra-cell interferences as a function of pilot-signal power and base station location.
Channel Assignment and Load Distribution in a Power-Managed WLAN
This paper discusses a proposed algorithm.
Channel Assignment in an IEEE 802.11 WLAN Based on Signal-to-Interference Ratio
This article discusses channel assignment in an IEEE 802.11 WLAN based on signal-to-interference ratio.
Characteristic Male Urine Microbiomes Associate with Asymptomatic Sexually Transmitted Infection
Article discussing research on characteristic male urine microbiomes associated with asymptomatic sexually transmitted infection.
Characterizing Humour: An Exploration of Features in Humorous Texts
This paper investigates the problem of automatic humor recognition, and provides an in-depth analysis of two of the most frequently observed features of humorous text: human-centeredness and negative polarity. Through experiments performed on two collections of humorous texts, the authors show that these properties of verbal humor are consisted across different data sets.
Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach
This paper proposes a supervised model for keyphrase extraction from research papers, which are embedded in citation networks.
Classification of Attributes and Behavior in Risk Management Using Bayesian Networks
This paper discusses issues in security.
Classifier Stacking and Voting for Text Filtering
This article discusses classifier stacking and voting for text filtering.
Classifying Drug Resistance in the NCI60 Cancer Cell Lines Based on the mRNA Expression Levels of the 48 ABC Transporters
Poster for the 2014 MCBIOS Conference. This poster discusses classifying drug resistance in the NCI60 cancer cell lines based on the mRNA expression levels of the 48 ABC transporters.
Classifying genes to the correct Gene Ontology Slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning
Article discussing research on classifying genes to the correct gene ontology slim term in Saccharomyces cerevisiae using neighbouring genes with classification learning.
Classifying Scientific Publications Using Abstract Features
Article discussing classifying scientific publications using abstract features.
Co-training and Self-training for Word Sense Disambiguation
This paper investigates the application of co-training and self-training to word sense disambiguation. Optimal and empirical parameter selection methods for co-training and self-training are investigated, with various degrees of error reduction. A new method that combines co-training with majority voting is introduced, with the effect of smoothing the bootstrapping learning curves, and improving the average performance.
Co-Training for Topic Classification of Scholarly Data
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.
Co-training over Domain-independent and Domain-dependent Features for Sentiment Analysis of an Online Cancer Support Community
Paper on co-training over domain-independent and domain-dependent features for sentiment analysis of an online cancer support community.
Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces
Article on combining hashing and abstraction in sparse high dimensional feature spaces.
Combining Lexical Resources for Contextual Synonym Expansion
This paper discusses combining lexical resources for contextual synonym expansion.
A comparison of least squares regression and geographically weighted regression modeling of West Nile virus risk based on environmental parameters
This article discusses the effectiveness of utilizing local spatial variations in environmental data to uncover the statistical relationships between West Nile Virus (WNV) risk and environmental factors.
Comparison of Machine Learning Algorithms for Identifying Cancer Types
Poster for the 2014 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Annual Conference. This poster discusses a comparison of machine learning algorithms for identifying cancer types.