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E-coaching systems and social justice: ethical concerns about inequality, coercion, and stigmatization
Poor self-regulation has been linked to various behaviors that contribute to pressing societal issues, including rising household debt, inefficient...
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Machine learning and non-machine learning methods in mathematical recognition systems: Two decades’ systematic literature review
Tools based on machine learning (ML) have seen widespread application in the prediction and categorization of mathematical symbols and phrases. The...
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Dual attention based spatial-temporal inference network for volleyball group activity recognition
With the growing demand for video content analysis, sports video activity recognition has wide application prospects and commercial value, such as...
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Social robots as partners?
Although social robots are achieving increasing prominence as companions and carers, their status as partners in an interactive relationship with...
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Emotion-specific AUs for micro-expression recognition
The Facial Action Coding System (FACS) comprehensively describes facial expressions with facial action units (AUs). It is a well-used technique by...
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Could Chinese Users Recognize Social Bots? Exploratory Research Based on Twitter Data
Social bots have proliferated across global social media platforms such as Twitter, where they engage in sophisticated interactions with human users....
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Neural Attentional Relation Extraction with Dual Dependency Trees
Relation extraction has been widely used to find semantic relations between entities from plain text. Dependency trees provide deeper semantic...
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Recognition and longevity: an examination of award timing and lifespan in Nobel laureates
Using data for 387 Nobel Prize winners in physics, chemistry, or physiology/medicine from 1901 to 2000, this study focuses on the relation between...
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Speech based emotion recognition by using a faster region-based convolutional neural network
Automatic emotion identification from speech is a difficult problem that significantly depends on the accuracy of the speech characteristics employed...
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A novel algorithm for human action recognition in compressed domain using attention-guided approach
Herein, a novel methodology is proposed for real-time human activity detection and recognition in a compressed domain of videos using motion vectors...
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Group Activity Recognition by Exploiting Position Distribution and Appearance Relation
Group activity recognition in multi-person scene videos is a challenging task. Most previous approaches fail to provide a practical solution to...
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Relation extraction: advancements through deep learning and entity-related features
Capturing semantics and structure surrounding the target entity pair is crucial for relation extraction. The task is challenging due to the limited...
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Non-local Temporal Modeling for Practical Skeleton-Based Gait Recognition
Gait, a unique biometric identifier for recognizing individual identity at a distance, plays an important role in practical applications. Existing...
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Human Recognition using Face, Fingerprint and Voice
We describe in this chapter a new approach for human recognition using as information the face, fingerprint, and voice of a person. We have described...
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Speech emotion recognition using feature fusion: a hybrid approach to deep learning
Speech emotion recognition holds significant importance as it enables machines to understand and respond to human emotions, enhancing human-computer...
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Deconstructing public participation in the governance of facial recognition technologies in Canada
On February 13, 2020, the Toronto Police Services (TPS) issued a statement admitting that its members had used Clearview AI’s controversial facial...
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Generative AI and re-weaving a pedagogical horizon of social possibility
This article situates the potential for intellectual work to be renewed through an enriched engagement with the relationship between indigenous...
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Frequent words and syntactic context integrated biomedical discontinuous named entity recognition method
Named entity recognition is a fundamental step in biomedical text mining tasks where discontinuous named entity recognition, shows more...
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From Research to Applications: What Can We Extract with Social Media Sensing?
With the constant growth of social media in our daily lives, a huge amount of information is generated online by multiple social networks. However,...
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Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media
Influentials play a key role in enhancing information diffusion on social media. However, how personal influence varies across multiple domains is...
