AIMC Topic: Attention

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Local interpretable spammer detection model with multi-head graph channel attention network.

Neural networks : the official journal of the International Neural Network Society Dec 19, 2024
Fraudulent reviews posted by spammers on the online shopping websites mislead consumers' purchasing decisions. To curb fraudulent reviews, many methods have been proposed for detecting spammers. However, the existing spammer detection methods operate...
Fraud Algorithms Internet Attention Humans Neural Networks, Computer
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Human activity recognition utilizing optimized attention induced Multihead Convolutional Neural Network with Mobile Net V1 from Mobile health data.

Network (Bristol, England) Dec 17, 2024
Human Activity Recognition (HAR) systems are designed to continuously monitor human behaviour, mainly in the areas of entertainment and surveillance in intelligent home environments. In this manuscript, Human Activity Recognition utilizing optimized ...
Humans Algorithms Neural Networks, Computer Human Activities Attention Convolutional Neural Networks Telemedicine
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M4Net: Multi-level multi-patch multi-receptive multi-dimensional attention network for infrared small target detection.

Neural networks : the official journal of the International Neural Network Society Dec 5, 2024
The detection of infrared small targets is getting more and more attention, and has a wider application in both military and civilian fields. The traditional infrared small target detection methods heavily rely on the setting of manual features, and ...
Algorithms Deep Learning Neural Networks, Computer Infrared Rays Attention Humans
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Enhancing Autism Detection Through Gaze Analysis Using Eye Tracking Sensors and Data Attribution with Distillation in Deep Neural Networks.

Sensors (Basel, Switzerland) Dec 5, 2024
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by differences in social communication and repetitive behaviors, often associated with atypical visual attention patterns. In this paper, the Gaze-Based Autism Classifier ...
Attention Autistic Disorder Fixation, Ocular Humans Eye Movements Neural Networks, Computer Child Male Autism Spectrum Disorder Eye-Tracking Technology Female Deep Learning
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Object-based feedback attention in convolutional neural networks improves tumour detection in digital pathology.

Scientific reports Dec 5, 2024
Human visual attention allows prior knowledge or expectations to influence visual processing, allocating limited computational resources to only that part of the image that are likely to behaviourally important. Here, we present an image recognition ...
Feedback Image Processing, Computer-Assisted Attention Neural Networks, Computer Colorectal Neoplasms Humans
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Asymmetric Multi-Task Learning for Interpretable Gaze-Driven Grasping Action Forecasting.

IEEE journal of biomedical and health informatics Dec 5, 2024
This work tackles the automatic prediction of grasping intention of humans observing their environment. Our target application is the assistance to people with motor disabilities and potential cognitive impairments, using assistive robotics. Our prop...
Hand Strength Attention Task Performance and Analysis Male Eye-Tracking Technology Fixation, Ocular Humans Machine Learning Young Adult Adult Female
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Low-power and lightweight spiking transformer for EEG-based auditory attention detection.

Neural networks : the official journal of the International Neural Network Society Dec 4, 2024
EEG signal analysis can be used to study brain activity and the function and structure of neural networks, helping to understand neural mechanisms such as cognition, emotion, and behavior. EEG-based auditory attention detection is using EEG signals t...
Humans Neural Networks, Computer Electroencephalography Signal Processing, Computer-Assisted Action Potentials Acoustic Stimulation Auditory Perception Neurons Attention
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Hybrid Network Using Dynamic Graph Convolution and Temporal Self-Attention for EEG-Based Emotion Recognition.

IEEE transactions on neural networks and learning systems Dec 2, 2024
The electroencephalogram (EEG) signal has become a highly effective decoding target for emotion recognition and has garnered significant attention from researchers. Its spatial topological and time-dependent characteristics make it crucial to explore...
Neural Networks, Computer Algorithms Brain Humans Electroencephalography Time Factors Attention Emotions
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Attention-Based Multimodal tCNN for Classification of Steady-State Visual Evoked Potentials and Its Application to Gripper Control.

IEEE transactions on neural networks and learning systems Dec 2, 2024
The classification problem for short time-window steady-state visual evoked potentials (SSVEPs) is important in practical applications because shorter time-window often means faster response speed. By combining the advantages of the local feature lea...
Evoked Potentials, Visual Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Attention Humans Electroencephalography
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A Bio-Inspired Spiking Attentional Neural Network for Attentional Selection in the Listening Brain.

IEEE transactions on neural networks and learning systems Dec 2, 2024
Humans show a remarkable ability in solving the cocktail party problem. Decoding auditory attention from the brain signals is a major step toward the development of bionic ears emulating human capabilities. Electroencephalography (EEG)-based auditory...
Neural Networks, Computer Algorithms Brain Attention Electroencephalography Humans Models, Neurological Acoustic Stimulation Neurons Auditory Perception
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