AIMC Topic: Attention

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PASTFNet: a paralleled attention spatio-temporal fusion network for micro-expression recognition.

Medical & biological engineering & computing Feb 28, 2024
Micro-expressions (MEs) play such an important role in predicting a person's genuine emotions, as to make micro-expression recognition such an important resea rch focus in recent years. Most recent researchers have made efforts to recognize MEs with ...
Pattern Recognition, Automated Facial Expression Attention Algorithms Neural Networks, Computer Emotions Image Processing, Computer-Assisted Humans
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Audio-Visual Kinship Verification: A New Dataset and a Unified Adaptive Adversarial Multimodal Learning Approach.

IEEE transactions on cybernetics Feb 9, 2024
Facial kinship verification refers to automatically determining whether two people have a kin relation from their faces. It has become a popular research topic due to potential practical applications. Over the past decade, many efforts have been devo...
Learning Machine Learning Humans Attention
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Integrated block-wise neural network with auto-learning search framework for finger gesture recognition using sEMG signals.

Artificial intelligence in medicine Jan 17, 2024
Accurate finger gesture recognition with surface electromyography (sEMG) is essential and long-challenge in the muscle-computer interface, and many high-performance deep learning models have been developed to predict gestures. For these models, probl...
Recognition, Psychology Attention Algorithms Electromyography Gestures Neural Networks, Computer
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An emotion recognition method based on EWT-3D-CNN-BiLSTM-GRU-AT model.

Computers in biology and medicine Jan 1, 2024
This has become a significant study area in recent years because of its use in brain-machine interaction (BMI). The robustness problem of emotion classification is one of the most basic approaches for improving the quality of emotion recognition syst...
Humans Emotions Electroencephalography Artificial Intelligence Neural Networks, Computer Wavelet Analysis Attention
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Artificial Intelligence-based System for Detecting Attention Levels in Students.

Journal of visualized experiments : JoVE Dec 15, 2023
The attention level of students in a classroom can be improved through the use of Artificial Intelligence (AI) techniques. By automatically identifying the attention level, teachers can employ strategies to regain students' focus. This can be achieve...
Artificial Intelligence Emotions Fear Students Humans Attention
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Classification of Targets and Distractors in an Audiovisual Attention Task Based on Electroencephalography.

Sensors (Basel, Switzerland) Dec 3, 2023
Within the broader context of improving interactions between artificial intelligence and humans, the question has arisen regarding whether auditory and rhythmic support could increase attention for visual stimuli that do not stand out clearly from an...
Event-Related Potentials, P300 Evoked Potentials Electroencephalography Artificial Intelligence Acoustic Stimulation Humans Attention
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Corruption depth: Analysis of DNN depth for misclassification.

Neural networks : the official journal of the International Neural Network Society Nov 20, 2023
Many large and complex deep neural networks have been shown to provide higher performance on various computer vision tasks. However, very little is known about the relationship between the complexity of the input data along with the type of noise and...
Attention Neural Networks, Computer Data Compression
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A computational approach to investigating facial attractiveness factors using geometric morphometric analysis and deep learning.

Scientific reports Nov 13, 2023
Numerous studies discuss the features that constitute facial attractiveness. In recent years, computational research has received attention because it can examine facial features without relying on prior research hypotheses. This approach uses many f...
Beauty Physical Examination Attention Deep Learning Face
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Illuminating the Neural Landscape of Pilot Mental States: A Convolutional Neural Network Approach with Shapley Additive Explanations Interpretability.

Sensors (Basel, Switzerland) Nov 8, 2023
Predicting pilots' mental states is a critical challenge in aviation safety and performance, with electroencephalogram data offering a promising avenue for detection. However, the interpretability of machine learning and deep learning models, which a...
Machine Learning Neural Networks, Computer Attention Electroencephalography
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MMBERT: a unified framework for biomedical named entity recognition.

Medical & biological engineering & computing Oct 14, 2023
Named entity recognition (NER) is an important task in natural language processing (NLP). In recent years, NER has attracted much attention in the biomedical field. However, due to the lack of biomedical named entity identification datasets, the comp...
Neural Networks, Computer Attention Natural Language Processing
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