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Article
Unveiling Augmented Reality Applications: Exploring Influential Factors Through Comprehensive Review
This comprehensive systematic study aimed to review the contemporary influential factors in augmented reality (AR) applications. The selection of relevant articles was conducted following the Preferred Reporti...
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Article
Open AccessExamining data visualization pitfalls in scientific publications
Data visualization blends art and science to convey stories from data via graphical representations. Considering different problems, applications, requirements, and design goals, it is challenging to combine t...
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Chapter and Conference Paper
VRASP: A Virtual Reality Environment for Learning Answer Set Programming
Answer Set Programming (ASP) is a dominant programming paradigm in Knowledge Representation. It is used to build intelligent agents – knowledge-intensive software systems capable of exhibiting intelligent beha...
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Article
An illustrative application of generalized structured component analysis for brain connectivity research
Generalized structured component analysis (GSCA) has been extensively enhanced in terms of data-analytic capability and flexibility as well as computational efficiency. This article illustrates a novel applica...
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Article
The left cerebral hemisphere may be dominant for the control of bimanual symmetric reach-to-grasp movements
Previous research has established that the left cerebral hemisphere is dominant for the control of continuous bimanual movements. The lateralisation of motor control for discrete bimanual movements, in contras...
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Article
A Unified Approach to Functional Principal Component Analysis and Functional Multiple-Set Canonical Correlation
Functional principal component analysis (FPCA) and functional multiple-set canonical correlation analysis (FMCCA) are data reduction techniques for functional data that are collected in the form of smooth curv...
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Article
Erratum to: Multilevel Dynamic Generalized Structured Component Analysis for Brain Connectivity Analysis in Functional Neuroimaging Data
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Article
Multilevel Dynamic Generalized Structured Component Analysis for Brain Connectivity Analysis in Functional Neuroimaging Data
We extend dynamic generalized structured component analysis (GSCA) to enhance its data-analytic capability in structural equation modeling of multi-subject time series data. Time series data of multiple subjec...
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Article
Symptom changes in five dimensions of the Positive and Negative Syndrome Scale in refractory psychosis
Refractory psychosis units currently have little information regarding which symptoms profiles should be expected to respond to treatment. In the current study, we provide this information using structural equ...
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Article
Dynamic GSCA (Generalized Structured Component Analysis) with Applications to the Analysis of Effective Connectivity in Functional Neuroimaging Data
We propose a new method of structural equation modeling (SEM) for longitudinal and time series data, named Dynamic GSCA (Generalized Structured Component Analysis). The proposed method extends the original GSC...
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Article
Functional Multiple-Set Canonical Correlation Analysis
We propose functional multiple-set canonical correlation analysis for exploring associations among multiple sets of functions. The proposed method includes functional canonical correlation analysis as a specia...
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Article
An acceleration method for Ten Berge et al.’s algorithm for orthogonal INDSCAL
INDSCAL (INdividual Differences SCALing) is a useful technique for investigating both common and unique aspects of K similarity data matrices. The model postulates a common stimulus configuration in a low-dimensi...
