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MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction
Tagged magnetic resonance imaging (tMRI) has been employed for decades to measure the motion of tissue undergoing deformation. However,...
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Statistical and Bioinformatics Model to Identify the Influential Genes and Comorbidities of Glioblastoma
Glioblastoma (GBM) is the most common fatal cancer whose median survival time is estimated to be 12 to 18 months. GBM occurs in the frontal and...
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AI-Driven Intelligent Text Correction Techniques for Mobile Text Entry
Current text correction processes on mobile touch devices are laborious: users either extensively use backspace, or navigate the cursor to the error...
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Map** Signaling Mechanisms in Neurotoxic Injury from Sparsely Sampled Data Using a Constraint Satisfaction Framework
Gulf War Illness (GWI) is a poorly understood exposure-induced neuroinflammatory disorder where complexity and the high cost of animal exposure...
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Performance Analysis of Maximum-Likelihood Decoding of Polar Codes
In space communication, effective channel coding schemes and decoding algorithms are essential for reliable communication. As the standard coding...
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A proficient two stage model for identification of promising gene subset and accurate cancer classification
Over the past few decades, there has been a massive growth in the volume of biological data. In such datasets, the influence of dimensionality bias...
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A graph-based method for ranking of cloud service providers
With the advent of cloud computing, more businesses are turning to the cloud for deploying their applications and for infrastructure solutions....
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Multiple Testing for IR and Recommendation System Experiments
While there has been significant research on statistical techniques for comparing two information retrieval (IR) systems, many IR experiments test...
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Does Guaranteeing Anonymity in SNS Use Contribute to Regional Revitalization?
To avoid problems on social networking sites, people are warned not to identify their personal information, while it is said that if everyone uses...
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Effects of Duration and Envelope of Vibrotactile Alerts on Urgency, Annoyance, and Acceptance
Vibrotactile feedback has been receiving increasing attention as an effective modality to draw the user’s attention to an urgent situation. The...
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Preliminary Performance Assessment on Ask4Summary’s Reading Methods for Summary Generation
Ask4Summary creates summary for students’ questions based on text-based learning materials. This study conducts a preliminary assessment on...
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Multiple Testing of Conditional Independence Hypotheses Using Information-Theoretic Approach
In the paper we study the multiple testing problem for which individual hypotheses of interest correspond to conditional independence of the two...
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Beyond the Grey Area: Exploring the Effectiveness of Scaffolding as a Learning Measure
In this paper, we aim to explore students’ help-seeking patterns, and learning performance using a computational model of the Zone of Proximal...
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Divided Attention in Human-Robot Teaming: Assessing Performance in Large-Scale Interactive Virtual Environments
This paper explores division of attention for people in human-robot teaming within immersive virtual environments (IVEs), focusing on search tasks...
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Using NLP to Detect Tradeoffs in Employee Reviews
This paper presents a methodology to identify industry-specific tradeoffs using natural language processing (NLP) to analyze employee reviews from...
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Which Method of Fact-Checking is Beneficial in Fighting Misinformation?
When users unknowingly interact with false information online, they may be susceptible to the influence of misinformation. Using a fact-checker to...
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Verification and Validation of Adaptive Instructional Systems: A Text Mining Review
The current paper aims at qualifying the distribution of academic papers related to verification and validation of Adaptive Instructional Systems...
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Breast lesion detection from MRI images using quasi-oppositional slime mould algorithm
In recent years cancer on breast in women has increased rapidly worldwide. Therefore, the automatic segmentation of breast Dynamic Contrast-Enhanced...
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Will You Participate? Exploring the Potential of Robotics Competitions on Human-Centric Topics
This paper presents findings from an exploratory needfinding study investigating the research current status and potential participation of the...
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Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages
Many algorithms have been proposed to learn local graphical structures around target variables of interest from observational data. The Markov...