AIMC Topic: Attention

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Composite attention mechanism network for deep contrastive multi-view clustering.

Neural networks : the official journal of the International Neural Network Society May 3, 2024
Contrastive learning-based deep multi-view clustering methods have become a mainstream solution for unlabeled multi-view data. These methods usually utilize a basic structure that combines autoencoder, contrastive learning, or/and MLP projectors to g...
Deep Learning Cluster Analysis Attention Neural Networks, Computer Algorithms Humans
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Identifying ADHD-Related Abnormal Functional Connectivity with a Graph Convolutional Neural Network.

Neural plasticity Apr 30, 2024
Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that is characterized by inattention, hyperactivity, and impulsivity. The neural mechanisms underlying ADHD remain inadequately understood, and current approaches...
Neural Pathways Nerve Net Attention Deficit Disorder with Hyperactivity Adult Brain Mapping Male Attention Brain Child Adolescent Female Humans Magnetic Resonance Imaging Young Adult Neural Networks, Computer
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Rumor detection based on Attention Graph Adversarial Dual Contrast Learning.

PloS one Apr 22, 2024
It is becoming harder to tell rumors from non-rumors as social media becomes a key news source, which invites malicious manipulation that could do harm to the public's health or cause financial loss. When faced with situations when the session struct...
Attention Machine Learning Algorithms Social Media Humans Neural Networks, Computer
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Interactive effects of users' openness and robot reliability on trust: evidence from psychological intentions, task performance, visual behaviours, and cerebral activations.

Ergonomics Apr 18, 2024
Although trust plays a vital role in human-robot interaction, there is currently a dearth of literature examining the effect of users' openness personality on trust in actual interaction. This study aims to investigate the interaction effects of user...
Personality Robotics Walking Trust Eye-Tracking Technology Task Performance and Analysis Attention Intention Female Reproducibility of Results Adult Male Young Adult Humans
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A multi-featured expression recognition model incorporating attention mechanism and object detection structure for psychological problem diagnosis.

Physiology & behavior Apr 18, 2024
Expression is the main method for judging the emotional state and psychological condition of the human body, and the prediction of changes in facial expressions can effectively determine the mental health of a person, thus avoiding serious psychologi...
Emotions Attention Facial Expression Neural Networks, Computer Humans Mental Disorders Deep Learning
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Attention-based deep convolutional neural network for classification of generalized and focal epileptic seizures.

Epilepsy & behavior : E&B Apr 17, 2024
Epilepsy affects over 50 million people globally. Electroencephalography is critical for epilepsy diagnosis, but manual seizure classification is time-consuming and requires extensive expertise. This paper presents an automated multi-class seizure cl...
Young Adult Epilepsies, Partial Adult Seizures Epilepsy, Generalized Humans Female Deep Learning Attention Electroencephalography Neural Networks, Computer Male
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A GRU-CNN model for auditory attention detection using microstate and recurrence quantification analysis.

Scientific reports Apr 17, 2024
Attention as a cognition ability plays a crucial role in perception which helps humans to concentrate on specific objects of the environment while discarding others. In this paper, auditory attention detection (AAD) is investigated using different dy...
Humans Neural Networks, Computer Brain Mapping Electroencephalography Attention Machine Learning Brain
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Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection.

Neural networks : the official journal of the International Neural Network Society Apr 16, 2024
The rhythm of bonafide speech is often difficult to replicate, which causes that the fundamental frequency (F0) of synthetic speech is significantly different from that of real speech. It is expected that the F0 feature contains the discriminative in...
Humans Neural Networks, Computer Attention Algorithms Speech
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A Stage-Wise Residual Attention Generation Adversarial Network for Mandibular Defect Repairing and Reconstruction.

International journal of neural systems Apr 13, 2024
Surgical reconstruction of mandibular defects is a clinical routine manner for the rehabilitation of patients with deformities. The mandible plays a crucial role in maintaining the facial contour and ensuring the speech and mastication functions. The...
Humans Attention Neural Networks, Computer Mandibular Reconstruction Mandible
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Estimation of electrical muscle activity during gait using inertial measurement units with convolution attention neural network and small-scale dataset.

Journal of biomechanics Apr 11, 2024
In general, muscle activity can be directly measured using Electromyography (EMG) or calculated with musculoskeletal models. However, both methods are not suitable for non-technical users and unstructured environments. It is desired to establish more...
Electromyography Gait Attention Neural Networks, Computer Muscle, Skeletal
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