An Experiment-Based Review of Low-Light Image Enhancement Methods (open access)

An Experiment-Based Review of Low-Light Image Enhancement Methods

Article reviews the current techniques of low-light image enhancement.
Date: May 6, 2020
Creator: Yuan, Xiaohui; Wang, Wencheng; Wu, Xiaojin & Guo, Zairui
Object Type: Article
System: The UNT Digital Library
Accelerometer-Based Automated Counting of Ten Exercises without Exercise-Specific Training or Tuning (open access)

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

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
Object Type: Article
System: The UNT Digital Library
Detecting Negation Cues and Scopes in Spanish (open access)

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 María; Morante, Roser; Martín-Valdivia, María Teresa & Ureña-López, L. Alfonso
Object Type: Article
System: The UNT Digital Library
WikiPossessions: Possession Timeline Generation as an Evaluation Benchmark for Machine Reading Comprehension of Long Texts (open access)

WikiPossessions: Possession Timeline Generation as an Evaluation Benchmark for Machine Reading Comprehension of Long Texts

Article presents WikiPossessions, a new benchmark corpus for the task of temporally-oriented possession (TOP), or tracking objects as they change hands over time. In addition to the corpus, the authors release evaluation scripts and a baseline model for the task.
Date: May 2020
Creator: Blanco, Eduardo; Palmer, Alexis & Chinnappa, Dhivya
Object Type: Article
System: The UNT Digital Library
Determining Event Outcomes: The Case of #fail (open access)

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
It’s not a Non-Issue: Negation as a Source of Error in Machine Translation (open access)

It’s not a Non-Issue: Negation as a Source of Error in Machine Translation

Article investigates whether translating negation is an issue for modern MT systems using 17 translation directions as test bed and provides a linguistically motivated analysis that explains the majority of the findings. The authors release their annotations and code to replicate analysis here: https://github.com/mosharafhossain/negation-mt.
Date: November 2020
Creator: Hossain, Md Mosharaf; Blanco, Eduardo; Palmer, Alexis & Anastasopoulos, Antonios
Object Type: Article
System: The UNT Digital Library
Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success (open access)

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

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
Object Type: Article
System: The UNT Digital Library
An Analysis of Natural Language Inference Benchmarks through the Lens of Negation (open access)

An Analysis of Natural Language Inference Benchmarks through the Lens of Negation

Article presents a new benchmark for natural language inference in which negation plays a critical role and shows that state-of-the-art transformers struggle making inference judgments with the new pairs.
Date: November 2020
Creator: Hossain, Md Mosharaf; Dutta, Pranoy; Kao, Tiffany; Wei, Elizabeth; Blanco, Eduardo & Kovatchev, Venelin
Object Type: Article
System: The UNT Digital Library
Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch (open access)

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

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 resolution engine. The open-source implementation is available as a Python package at t https://pypi.org/project/natlog/.
Date: September 17, 2021
Creator: Tarau, Paul
Object Type: Article
System: The UNT Digital Library
[Transdisciplinary Ancestral Genomic Research Investigations (TAGRI) II Conference Presentations on Artificial Intelligence in Health Research] captions transcript

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

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
Creator: Albert, Mark & Wheeler, Heather E.
Object Type: Video
System: The UNT Digital Library
Urban land-use analysis using proximate sensing imagery: a survey (open access)

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

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: November 30, 2020
Creator: Qiao, Zhinan & Yuan, Xiaohui
Object Type: Article
System: The UNT Digital Library
Weak-Light Image Enhancement Method Based on Adaptive Local Gamma Transform and Color Compensation (open access)

Weak-Light Image Enhancement Method Based on Adaptive Local Gamma Transform and Color Compensation

This article proposes a correction method for image enhancement models based on an adaptive local gamma transformation and color compensation inspired by the illumination reflection model. It is demonstrated that the proposed method adaptively reduces the influence of uneven illumination to avoid overenhancement and improves the visual effect of low-light images.
Date: June 25, 2021
Creator: Wang, Wencheng; Yuan, Xiaohui; Chen, Zhenxue; Wu, Xiaojin & Gao, Zairui
Object Type: Article
System: The UNT Digital Library
SSOR Preconditioned Gauss-Seidel Detection and Its Hardware Architecture for 5G and beyond Massive MIMO Networks (open access)

SSOR Preconditioned Gauss-Seidel Detection and Its Hardware Architecture for 5G and beyond Massive MIMO Networks

This article proposes a novel preconditioned and accelerated Gauss–Siedel algorithm referred to as Symmetric Successive Overrelaxation Preconditioned Gauss-Seidel (SSORGS) to address the signal detection challenges associated with massive MIMO technology.
Date: March 1, 2021
Creator: Chataut, Robin; Akl, Robert G.; Dey, Utpal Kumar & Robaei, Mohammadreza
Object Type: Article
System: The UNT Digital Library
Recent advances in processing negation (open access)

Recent advances in processing negation

This article surveys previous work on negation with an emphasis on computational approaches.
Date: December 17, 2021
Creator: Morante, Roser & Blanco, Eduardo
Object Type: Article
System: The UNT Digital Library
Predicting changes in systolic blood pressure using longitudinal patient records (open access)

Predicting changes in systolic blood pressure using longitudinal patient records

This article introduces a model that predicts future changes in systolic blood pressure (SBP) based on structured and unstructured (text-based) information from longitudinal clinical records.
Date: July 22, 2015
Creator: Solomon, John Wes & Nielsen, Rodney D.
Object Type: Article
System: The UNT Digital Library
PhenoGeneRanker: Gene and Phenotype Prioritization Using Multiplex Heterogeneous Networks (open access)

PhenoGeneRanker: Gene and Phenotype Prioritization Using Multiplex Heterogeneous Networks

Article
Date: July 20, 2021
Creator: Dursun, Cagatay; Kwitek, Anne E. & Bozdag, Serdar
Object Type: Article
System: The UNT Digital Library
Personal Internet of Things (PIoT): What Is It Exactly? (open access)

Personal Internet of Things (PIoT): What Is It Exactly?

This article provides a big picture of PIoT architecture, vision, and future research scope. The exploratory study of PIoT is in its infancy, which will explore the expansion of new use cases, service requirements, and the proliferation of PIoT devices. This is a preprint version of this article.
Date: May 14, 2021
Creator: Sahoo, Biswa P. S.; Mohanty, Saraju P.; Puthal, Deepak & Pillai, Prashant
Object Type: Article
System: The UNT Digital Library
On Comparing the Similarity and Dissimilarity Between Two Distinct Vehicular Trajectories (open access)

On Comparing the Similarity and Dissimilarity Between Two Distinct Vehicular Trajectories

This article studies the problem of comparing the similarity and dissimilarity between two distinct vehicular trajectories by proposing an adjacency-based metric. This approach has a broad application in building truthfulness by comparing the similarity between two vehicles and evaluating the dissimilarity between two distinct paths in hazardous materials transportation.
Date: February 23, 2021
Creator: Qingge, Letu; Zhou, Peng; Dai, Lihui; Yang, Qing & Zhu, Binhai
Object Type: Article
System: The UNT Digital Library
Measuring the impact of suspending Umrah, a global mass gathering in Saudi Arabia on the COVID‑19 pandemic (open access)

Measuring the impact of suspending Umrah, a global mass gathering in Saudi Arabia on the COVID‑19 pandemic

This article uses a stratified SEIR epidemic model to evaluate the impact of Umrah, a global Muslim pilgrimage to Mecca, on the spread of the COVID-19 pandemic during the month of Ramadan, the peak of the Umrah season. The analyses provide insights into the effects of global mass gatherings on the progression of the COVID-19 pandemic locally and globally.
Date: September 6, 2021
Creator: Alshammari, Sultanah M.; Almutiry, Waleed K.; Gwalani, Harsha; Algarni, Saeed M. & Saeedi, Kawther
Object Type: Article
System: The UNT Digital Library
Investing Data with Untrusted Parties using HE (open access)

Investing Data with Untrusted Parties using HE

Article proposing the use of anonymization techniques coupled with graph algorithms over homomorphically encrypted (HE) graphs as a basis of analysis for this accumulated data. This approach ensures individuals’ privacy and anonymity while preserving the usefulness of the plaintext data. This article was originally presented at the 18th International Conference on Security and Cryptography - SECRYPT.
Date: 2021
Creator: Dockendorf, Mark; Dantu, Ram; Morozov, Kirill & Bhowmick, Sanjukta
Object Type: Article
System: The UNT Digital Library
Detection of Parkinson's Disease Through Automated Pupil Tracking of the Post-illumination Pupillary Response (open access)

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
Crinet: A computational tool to infer genome-wide competing endogenous RNA (ceRNA) interactions (open access)

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
Classifying Abdominal Fat Distribution Patterns by Using Body Measurement Data (open access)

Classifying Abdominal Fat Distribution Patterns by Using Body Measurement Data

This article aims to explore new categorization that characterizes the distribution clusters of visceral and subcutaneous adipose tissues (VAT and SAT) measured by magnetic resonance imaging (MRI), to analyze the relationship between the VAT-SAT distribution patterns and the novel body shape descriptors (BSDs), and to develop a classifier to predict the fat distribution clusters using the BSDs.
Date: February 19, 2021
Creator: Sun, Jingjing; Xu, Bugao; Lee, Jane & Freeland-Graves, Jeanne H.
Object Type: Article
System: The UNT Digital Library
COS: A new MeSH term embedding incorporating corpus, ontology, and semantic predications (open access)

COS: A new MeSH term embedding incorporating corpus, ontology, and semantic predications

Article studying the problem of incorporating corpus, ontology, and semantic predications to learn the embeddings of MeSH terms. The authors propose a novel framework, Corpus, Ontology, and Semantic predications-based MeSH term embedding (COS), to generate high-quality MeSH term embeddings.
Date: May 4, 2021
Creator: Ding, Juncheng & Jin, Wei
Object Type: Article
System: The UNT Digital Library