AIMC Topic: Attention
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Multi-modal sentiment recognition with residual gating network and emotion intensity attention.
Neural networks : the official journal of the International Neural Network Society
Apr 25, 2025
Multimodal emotion recognition focuses on the prediction of emotions using text, visual and acoustic modalities, and some results have been generated in this field. Previous approaches fall short in two aspects, one is the processing of complementary...
Developmental coordination disorder and cerebral visual impairment: What is the association?
Research in developmental disabilities
Apr 24, 2025
INTRODUCTION: Children with Developmental Coordination Disorder (DCD) experience impairments beyond motor planning, affecting visual perceptual and visual-motor integration abilities, similar to children with Cerebral Visual Impairment (CVI), making ...
AdamGraph: Adaptive Attention-Modulated Graph Network for EEG Emotion Recognition.
IEEE transactions on cybernetics
Apr 23, 2025
The underlying time-variant and subject-specific brain dynamics lead to inconsistent distributions in electroencephalogram (EEG) topology and representations within and between individuals. However, current works primarily align the distributions of ...
HATNet: EEG-Based Hybrid Attention Transfer Learning Network for Train Driver State Detection.
IEEE transactions on cybernetics
Apr 23, 2025
Electroencephalography (EEG) is widely utilized for train driver state detection due to its high accuracy and low latency. However, existing methods for driver status detection rarely use the rich physiological information in EEG to improve detection...
Can humanoid robots be used as a cognitive offloading tool?
Cognitive research: principles and implications
Apr 17, 2025
Cognitive load occurs when the demands of a task surpass the available processing capacity, straining mental resources and potentially impairing performance efficiency, such as increasing the number of errors in a task. Owing to its ubiquity in real-...
AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on a Cue-Masked Paradigm.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 14, 2025
Auditory attention decoding from electroencephalogram (EEG) could infer to which source the user is attending in noisy environments. Decoding algorithms and experimental paradigm designs are crucial for the development of technology in practical appl...
Driver facial emotion tracking using an enhanced residual network with weighted fusion of channel and spatial attention.
Scientific reports
Apr 12, 2025
Facial expression recognition (FER) plays a crucial role in interpreting human emotions and intentions in real-life applications, such as advanced driver assistance systems. However, it faces challenges due to subtle facial variations, environmental ...
High-order diversity feature learning for pedestrian attribute recognition.
Neural networks : the official journal of the International Neural Network Society
Apr 11, 2025
Pedestrian attribute recognition (PAR) involves accurately identifying multiple attributes present in pedestrian images. There are two main approaches for PAR: part-based method and attention-based method. The former relies on existing segmentation o...
Classification of schizophrenia based on RAnet-ET: resnet based attention network for eye-tracking.
Journal of neural engineering
Apr 10, 2025
There is a notable need of quantifiable and objective methods for the classification of schizophrenia. Patients with schizophrenia exhibit atypical eye movements compared with healthy individuals. To address this need, we have developed a classificat...
Classroom network structure learning engagement and parallel temporal attention LSTM based knowledge tracing.
PloS one
Apr 7, 2025
In order to accurately assess the students' learning process and the cognitive state of knowledge points in smart classroom. A classroom network structure learning engagement and parallel temporal attention LSTM based knowledge tracing model (CL-PTKT...
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