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404 Matching Results
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COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset
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.
Date:
December 20, 2021
Creator:
Reshi, Aijaz Ahmad; Rustam, Furqan; Aljedaani, Wajdi; Shafi, Shabana; Alhossan, Abdulaziz; Alrabiah, Ziyad et al.
Object Type:
Article
System:
The UNT Digital Library
Creating a Testbed for the Evaluation of Automatically Generated Back-of-the-book Indexes
This paper discusses automatic generating of back-of-the-book indexes.
Date:
February 2006
Creator:
Csomai, Andras & Mihalcea, Rada, 1974-
Object Type:
Paper
System:
The UNT Digital Library
Creating Large Annotated Data Collections with Web Users' Help
This paper discusses creating annotated data collections.
Date:
April 2003
Creator:
Mihalcea, Rada, 1974- & Chklovski, Timothy A. (Timothy Anatolievich), 1977-
Object Type:
Paper
System:
The UNT Digital Library
Crinet: A computational tool to infer genome-wide competing endogenous RNA (ceRNA) interactions
This article develops a computational tool named Crinet to infer genome-wide ceRNA networks addressing critical drawbacks. Crinet-inferred ceRNA groups that were consistently involved in the immune system related processes could be important assets in the light of the studies confirming the relation between immunotherapy and cancer. The source code of Crinet is in R and available at https://github.com/bozdaglab/crinet.
Date:
May 13, 2021
Creator:
Kesimoglu, Ziynet Nesibe & Bozdag, Serdar
Object Type:
Article
System:
The UNT Digital Library
Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge
This paper discusses cross-lingual semantic relatedness using encyclopedic knowledge.
Date:
August 2009
Creator:
Hassan, Samer & Mihalcea, Rada, 1974-
Object Type:
Paper
System:
The UNT Digital Library
Current Research in Wireless at UNT
This presentation discusses wireless networks, access point selections, traffic balancing, multi-cell CDMA, user distribution modeling, and call admission control.
Date:
October 2004
Creator:
Akl, Robert G.
Object Type:
Presentation
System:
The UNT Digital Library
Data Mining Techniques for Predicting Breast Cancer Survivability Among Women in the United States
Poster for the 2014 UNT Graduate Exhibition in the Computer Science and Information Technology category. This poster discusses data mining techniques for predicting breast cancer survivability among women in the United States.
Date:
March 1, 2014
Creator:
Alshammari, Sultanah M.; Shah, Tawfiq M. & Huang, Yan
Object Type:
Poster
System:
The UNT Digital Library
[Dataset of Web Archiving Research Articles]
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.
Date:
August 2014
Creator:
Reyes Ayala, Brenda & Caragea, Cornelia
Object Type:
Dataset
System:
The UNT Digital Library
The Decomposition of Human-Written Book Summaries
In this paper, the authors evaluate the extent to which human-written book summaries can be obtained through cut-and-paste operations from the original book. The authors analyze the effect of the parameters involved in the decomposition algorithm, and highlight the distinctions in coverage obtained for different summary types.
Date:
March 2009
Creator:
Ceylan, Hakan & Mihalcea, Rada, 1974-
Object Type:
Paper
System:
The UNT Digital Library
Deep learning for peptide identification from metaproteomics datasets
This article explores a proposed deep-learning-based algorithm called DeepFilter for improving peptide identifications from a collection of tandem mass spectra. The authors find that DeepFilter is believed to generalize properly to new, previously unseen peptide-spectrum-matches and can be readily applied in peptide identification from metaproteomics data.
Date:
July 8, 2021
Creator:
Feng, Shichao; Sterzenbach, Ryan & Guo, Xuan
Object Type:
Article
System:
The UNT Digital Library
Deriving Theorems in Implicational Linear Logic, Declaratively
This article aims to generate all theorems of a given size in the implicational fragment of propositional intuitionistic linear logic. It was presented at the 36th International Conference on Logic Programming (ICLP).
Date:
September 19, 2020
Creator:
Tarau, Paul & de Paiva, Valeria
Object Type:
Article
System:
The UNT Digital Library
Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB
This article is from the 26th ACM Conference on Innovation and Technology in Computer Science Education and discusses the design, effectiveness, and curricular impacts of an introductory data science course focused on practical programming skills and allowing students to concurrently complete the course in Python, R, or MATLAB. Students indicated a preference for the multi-language course design and the course became the recommended first programming course for a newly developed and approved undergraduate data science majors.
Date:
June 26, 2021
Creator:
Xiao, Ting; Greenberg, Ronald I. & Albert, Mark
Object Type:
Article
System:
The UNT Digital Library
Detecting Covid-19 chaos driven phishing/malicious URL attacks by a fuzzy logic and data mining based intelligence system
Article analyses the impact of Covid-19 on various cyber-security related aspects.
Date:
June 7, 2022
Creator:
Zahra, Syed Rameem; Chishti, Mohammad Ahsan; Baba, Asif Iqbal & Wu, Fan
Object Type:
Article
System:
The UNT Digital Library
Detecting Negation Cues and Scopes in Spanish
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.
Date:
May 2020
Creator:
Blanco, Eduardo; Jiménez-Zafra, Salud MarÃa; Morante, Roser; MartÃn-Valdivia, MarÃa Teresa & Ureña-López, L. Alfonso
Object Type:
Article
System:
The UNT Digital Library
Detecting Sarcasm is Extremely Easy ;-)
This paper analyzes the performance of a domain-general sarcasm detection system on datasets from two different domains: Twitter and Amazon product reviews.
Date:
June 5, 2018
Creator:
Parde, Natalie & Nielsen, Rodney D.
Object Type:
Paper
System:
The UNT Digital Library
Detection of DDoS Attack in Software-Defined Networking Environment and Its Protocol-wise Analysis using Machine Learning
Article describes how distributed-denial-of-service (DDoS) attacks can cause a great menace to numerous organizations and their stakeholders. The authors assert that the objective of this research work is to take into account a DDoS afflicted SDN specific dataset and detect the malicious traffic by using various machine learning algorithms namely., K-Nearest Neighbours, Logistic Regression, Multilayer Perceptron, Iterative Dichotomiser 3, and Stochastic Gradient Descent.
Date:
January 10, 2022
Creator:
Prasad, Ashwani; Prasad, Sanjana; Arockiasamy, Karmel; P, Karthika & Yuan, Xiaohui
Object Type:
Article
System:
The UNT Digital Library
Detection of Parkinson's Disease Through Automated Pupil Tracking of the Post-illumination Pupillary Response
This article describes a system for pupil size estimation with a user interface to allow rapid adjustment of parameters and extraction of pupil parameters of interest in order to identify Parkinson's disease (PD) as early as possible.
Date:
March 25, 2021
Creator:
Tabashum, Thasina; Zaffer, Adnaan; Yousefzai, Raman; Colletta, Kalea; Jost, Mary Beth; Park, Youngsook et al.
Object Type:
Article
System:
The UNT Digital Library
Determining Event Outcomes: The Case of #fail
Article presents research determining event outcomes in social media.
Date:
November 2020
Creator:
Murugan, Srikala; Chinnappa, DhivyaAssociation for Computational Linguistics & Blanco, Eduardo
Object Type:
Article
System:
The UNT Digital Library
Determining Whether and When People Participate in the Events They Tweet About
This paper describes an approach to determine whether people participate in the events they tweet about.
Date:
August 2017
Creator:
Sanagavarapu, Krishna C.; Vempala, Alakananda & Blanco, Eduardo
Object Type:
Article
System:
The UNT Digital Library
Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network
This paper applies a deep long-short term memory (LSTM) structure to classify dialogue acts in open-domain conversations.
Date:
December 2016
Creator:
Khanpour, Hamed; Guntakandla, Nishitha & Nielsen, Rodney D.
Object Type:
Paper
System:
The UNT Digital Library
Do Open-Source Software Development Teams Have Enough Eyes?
Poster presentation for the 2012 University Scholars Day at the University of North Texas discussing research on open-source software and development teams.
Date:
April 19, 2012
Creator:
Widick, Logan & Verrill, Diane
Object Type:
Poster
System:
The UNT Digital Library
Document Indexing using Named Entities
This article discusses document indexing using named entities.
Date:
January 2001
Creator:
Mihalcea, Rada, 1974- & Moldovan, Dan I.
Object Type:
Article
System:
The UNT Digital Library
Draft Genome Sequence of the Cyanide-Utilizing Bacterium Pseudomonas fluorescens Strain NCIMB 11764
Article discussing the draft genome sequence of the cyanide-utilizing bacterium 'Pseudomonas fluorescens' strain NCIMB 11764.
Date:
November 9, 2012
Creator:
Vilo, Claudia A.; Benedik, Michael J.; Kunz, Daniel A. & Dong, Qunfeng
Object Type:
Article
System:
The UNT Digital Library
Dynamic Agent Population in Agent-Based Distance Vector Routing
This paper discusses dynamic agent population in agent-based distance vector routing.
Date:
August 2002
Creator:
Amin, Kaizar A. & Mikler, Armin R.
Object Type:
Paper
System:
The UNT Digital Library