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Philosophical Lessons for Emotion Recognition Technology
Emotion recognition technology uses artificial intelligence to make inferences about a person’s emotions, on the basis of their facial expressions,...
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Facial Emotion Recognition in-the-Wild Using Deep Neural Networks: A Comprehensive Review
Facial expressions are a crucial aspect of human communication that provide information about emotions, intentions, interactions, and social...
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Exploiting emotional concepts for image emotion recognition
With the increasing number of users express their emotions via images on social media, image emotion recognition attracts much attention of...
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Biometrics recognition of newborn: a review
The accurate identification and recognition of newborns hold significant importance in ensuring their safety and security within healthcare...
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Recognition of Self-organized Aggregation Behavior in Social Networks Based on Ant Colony Algorithm
In order to effectively detect the real network community structure and improve the accuracy of user stage partitioning to the corresponding...
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Bete: A Brazilian Portuguese Dataset for Named Entity Recognition and Relation Extraction in the Diabetes Healthcare Domain
The biomedical NLP community has seen great advances in dataset development mostly for the English language, which has hindered progress in the...
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From methods to datasets: a detailed study on facial emotion recognition
Human ideas and sentiments are mirrored in facial expressions. Facial expression recognition (FER) is a crucial type of visual data that can be...
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Analysis of social recognition network of North Korean children’s rights and welfare through big data
The purpose of this study is to provide basic data to prepare policies related to ‘North Korean children’s rights and welfare’ by examining the...
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The struggle for recognition in the age of facial recognition technology
Facial recognition is a promising emerging technology, but it sometimes fails to recognize people adequately. Facial recognition applications have...
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A hybrid recognition framework of crucial seed spreaders in complex networks with neighborhood overlap
Recognizing crucial seed spreaders of complex networks is an open issue that studies the dynamic spreading process and analyzes the performance of...
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CWI: A multimodal deep learning approach for named entity recognition from social media using character, word and image features
Named entity recognition (NER) from social media posts is a challenging task. User-generated content that forms the nature of social media is noisy...
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Discriminative explicit instance selection for implicit discourse relation classification
Discourse relation classification is a fundamental task for discourse analysis, which is essential for understanding the structure and connection of...
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SsciBERT: a pre-trained language model for social science texts
The academic literature of social sciences records human civilization and studies human social problems. With its large-scale growth, the ways to...
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MVPN: Multi-granularity visual prompt-guided fusion network for multimodal named entity recognition
Multimodal named entity recognition (MNER) aims at identifying entity spans and recognizing their categories in social media posts with the aid of...
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Diverse hand gesture recognition dataset
Hand Gesture Recognition(HGR) is a challenging computer vision task. Recently, by taking advantages of deep learning-based models, HGR methods have...
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DialogueINAB: an interaction neural network based on attitudes and behaviors of interlocutors for dialogue emotion recognition
Machines can be equipped with the capability of identifying human emotions through conversation, thus enabling them to empathize with natural persons...
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Learning by Asking Questions for Knowledge-Based Novel Object Recognition
In real-world object recognition, there are numerous object classes to be recognized. Traditional image recognition methods based on supervised...
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An improved face recognition with T2FSN based noise reduction in unconstrained environment
Face recognition is a significant biometric system employed to determine a person’s identity from digital images. The application of a face...
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Age-API: are landmarks-based features still distinctive for invariant facial age recognition?
Age recognition from faces has attracted potential interest due to its importance in several areas as well as minor-security and online shop**....
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Zero and few shot action recognition in videos with caption semantic and generative assist
This research introduces a trimodal approach that integrates image caption, image generation and action semantic to achieve zero-shot and few-shot...
