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Cognitive modelling of concepts in the mental lexicon with multilayer networks: Insights, advancements, and future challenges
The mental lexicon is a complex cognitive system representing information about the words/concepts that one knows. Over decades psychological...
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Deep Neural Network
A particular form of network used in brain imaging, the neural network, is the topic of this chapter. Properties of neural nets are presented...
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Cognitive diagnostic assessment: A Q-matrix constraint-based neural network method
Cognitive diagnosis is a crucial element of intelligent education that aims to assess the proficiency of specific skills or traits in students at a...
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Explainable Multilayer Perceptron Classification Model for Detecting the Internalized Shame-Based on Childhood Trauma, Social-Emotional Competence, Cognitive Flexibility, Distress Tolerance, Alexithymia, and Age
Internalized shame is a degrading emotional experience that is associated with avoidance tendencies, negative self-esteem, and feelings of...
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Predicting Heuristic Decisions in Child Welfare: A Neural Network Exploration
Behavior analysts have long recognized the benefits of closely following their data; however, the data we are following may be moving faster than the...
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A Deep Neural Network-Based Model for Screening Autism Spectrum Disorder Using the Quantitative Checklist for Autism in Toddlers (QCHAT)
Autism spectrum disorder (ASD) is an abnormal condition of brain development characterized by impaired cognitive ability, speech and human...
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“The lure of food”, exploring the role of “mukbang” on visit intention: an empirical study based on SEMs and artificial neural network (ANN)
Though research on mukbang is becoming popular, however, there are still few empirical studies on how mukbang affects travel intention. Examining the...
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Artificial Intelligence and Machine Learning Approaches for Understanding Food and Nutrients
To avoid obesity inside the human body, a healthy diet must be maintained at a consistent level. Automated classification of food photos and...
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A Hierarchical Latent Space Network Model for Population Studies of Functional Connectivity
A major challenge in network neuroscience lies in understanding the organizational principles of the brain at different spatial scales. The brain is...
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How Social Networks Influence Human Behavior: An Integrated Latent Space Approach for Differential Social Influence
How social networks influence human behavior has been an interesting topic in applied research. Existing methods often utilized scale-level...
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General Conclusion: Where Science Lives – Landscapes of the Soul
Carus was lucky. Over his long life, he could dedicate himself to scientific ideas as somebody whose livelihood did not depend on the immediate...
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Joint Latent Space Model for Social Networks with Multivariate Attributes
In social, behavioral and economic sciences, researchers are interested in modeling a social network among a group of individuals, along with their...
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Representing and Predicting Everyday Behavior
The prediction of everyday human behavior is a central goal in the behavioral sciences. However, efforts in this direction have been limited, as (1)...
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Deep Learning Application in Classification of Brain Metastases: Sensor Usage in Medical Diagnosis for Next Gen Healthcare
One of the biggest problems in the quantitative evaluation of brain tumor treatment is finding the tumor type. The ambiguous magnetic resonance...
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Using Machine Learning for Motion Analysis to Early Detect Autism Spectrum Disorder: A Systematic Review
Diagnosis of autism spectrum disorder (ASD) is typically performed using traditional tools based on behavioral observations. However, these diagnosis...
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Effectiveness of Social Work Supervision: A Qualitative Case Study and a Framework of Structure–Relationship–Power Analysis
With a background of rapid advancement of social work professionalism, the effectiveness of social work supervision has become one of the key factors...
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Need for cross-level iterative re-entry in models of visual processing
Two main hypotheses regarding the directional flow of visual information processing in the brain have been proposed: feed-forward (bottom-up) and...
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Brain texture as a marker of transdiagnostic clinical profiles in patients with recent-onset psychosis and depression
The inter-relationships of voxels can be captured by the radiomics texture features across multiple spatial scales. Prediction models of brain...
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Artificial Psychology
Various key concepts are introduced here, including artificial intelligence and explainable artificial intelligence and their implementation in...
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Research on the cross-level influence mechanism of team emotional intelligence on employees’ creative self-efficacy and innovation performance: the moderating effect of team identification
It is considered that high emotional intelligence teams bring high innovation performance to team members by improving their creative self-efficacy,...
