UNT College of Engineering - 339 Matching Results

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open access

Bayesian analysis of complex mutations in HBV, HCV, and HIV studies

Description: 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
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open access

Incorporating Emoji Descriptions Improves Tweet Classification

Description: Article presenting a simple strategy to process emojis in Tweets: replace them with their natural language description and use pretrained word embeddings as normally done with standard words. Results show that this strategy is more effective than using pretrained emoji embeddings for tweet classification.
Date: June 2019
Creator: Singh, Abhishek K.; Blanco, Eduardo & Jin, Wei
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open access

A Corpus of Metaphor Novelty Scores for Syntactically-Related Word Pairs

Description: Article introduces a large corpus of metaphor novelty scores for syntactically related word pairs, and releases it freely to the research community. This article describes the corpus, includes an analysis of its score distribution and the types of word pairs included in the corpus, and provides a brief overview of standard metaphor detection corpora.
Date: May 2018
Creator: Parde, Natalie & Nielsen, Rodney D.
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open access

Automated extraction of attributes from natural language attribute-based access control (ABAC) Policies

Description: 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
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open access

Massive MIMO Systems for 5G and beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction

Description: This article presents a comprehensive overview of the key enabling technologies required for 5G and 6G networks, highlighting the massive MIMO systems. The authors discuss the fundamental challenges related to pilot contamination, channel estimation, precoding, user scheduling, energy efficiency, and signal detection in massive MIMO systems and discuss state-of-the-art mitigation techniques. Recent trends such as terahertz communication, ultra massive MIMO (UM-MIMO), visible light communication… more
Date: May 12, 2020
Creator: Chataut, Robin & Akl, Robert G.
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open access

Mining Potential Effects of HUMIRA in Twitter Posts Through Relational Similarity

Description: Article investigating HUMIRA effects mentioned in Twitter posts using a relational similarity-based method. The authors were able to identify effects previously known as well as potentially unreported, which demonstrates the power of this method and its potential for studying effects of other medications shared by Twitter users.
Date: June 16, 2020
Creator: Feng, Shichao; Jiang, Keyuan; Huang, Liyuan; Chen, Tingyu & Bernard, Gordon R.
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open access

BAM: A Block-Based Bayesian Method for Detecting Genome-Wide Associations with Multiple Diseases

Description: 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
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open access

Accelerometer-Based Automated Counting of Ten Exercises without Exercise-Specific Training or Tuning

Description: Article presents research that creates an automatic repetition counting system that is flexible enough to measure multiple distinct and repeating movements during physical therapy without being trained on the specific motion.
Date: October 10, 2020
Creator: Zelman, Samuel; Dow, Michael; Tabashum, Thasina; Xiao, Ting & Albert, Mark
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open access

Detecting Negation Cues and Scopes in Spanish

Description: 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 María; Morante, Roser; Martín-Valdivia, María Teresa & Ureña-López, L. Alfonso
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open access

Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success

Description: Article studies the communication styles present in chat interactions of thousands of aspiring entrepreneurs who discuss and develop business models. The authors find that these styles can be reliably predicted, and that the communication styles can be used to predict a number of indices of business success.
Date: November 2020
Creator: Rashid, Farzana; Blanco, Eduardo; Fornaciari, Tommaso; Hovy, Dirk & Vega-Redondo, Fernando
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open access

Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch

Description: Article that introduces Natlog, a lightweight Logic Programming language, sharing Prolog's unification-driven execution model, but with a simplified syntax and semantics. The authors' proof-of-concept Natlog implementation is tightly embedded in the Python-based deep-learning ecosystem with focus on content-driven indexing of ground term datasets. As an overriding of the authors symbolic indexing algorithm, the same function can be delegated to a neural network, serving ground facts to Natlog's… more
Date: September 17, 2021
Creator: Tarau, Paul
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captions transcript

[Transdisciplinary Ancestral Genomic Research Investigations (TAGRI) II Conference Presentations on Artificial Intelligence in Health Research]

Description: Video recording of Dr. Mark V. Albert's presentation, "Artificial Intelligence and Applications in Genomics Research: Assessment of Mobility in Diverse Patient Populations" and Dr. Heather Wheeler's presentation, "Transcriptome Prediction Performance Across Machine Learning Models and Diverse Ancestries." They were presented at the Transdisciplinary Ancestral Genomic Research Investigations (TAGRI) II Conference held online November 5-6, 2021.
Date: November 5, 2021
Duration: 54 minutes 36 seconds
Creator: Albert, Mark & Wheeler, Heather E.
Item Type: Refine your search to only Video
open access

Urban land-use analysis using proximate sensing imagery: a survey

Description: This article reviews and summarizes the state-of-the-art methods and publicly available data sets from proximate sensing to support land-use analysis. Discussions highlight the challenges, strategies, and opportunities faced by the existing methods using proximate sensing imagery in urban land-use studies.
Date: May 3, 2021
Creator: Qiao, Zhinan & Yuan, Xiaohui
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