AIMC Topic: Attention

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Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI.

Journal of neural engineering Nov 26, 2018
OBJECTIVE: Despite the effective application of deep learning (DL) in brain-computer interface (BCI) systems, the successful execution of this technique, especially for inter-subject classification, in cognitive BCI has not been accomplished yet. In ...
Machine Learning Algorithms Deep Learning Humans Neural Networks, Computer Color Perception Transfer, Psychology Stroop Test Electroencephalography Attention Brain-Computer Interfaces
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Visual attention mechanism and support vector machine based automatic image annotation.

PloS one Nov 6, 2018
Automatic image annotation not only has the efficiency of text-based image retrieval but also achieves the accuracy of content-based image retrieval. Users of annotated images can locate images they want to search by providing keywords. Currently mos...
Support Vector Machine Databases, Factual Humans Attention Visual Perception Image Processing, Computer-Assisted Algorithms Image Interpretation, Computer-Assisted Models, Theoretical
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A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition.

PloS one Oct 30, 2018
The surface electromyography (sEMG)-based gesture recognition with deep learning approach plays an increasingly important role in human-computer interaction. Existing deep learning architectures are mainly based on Convolutional Neural Network (CNN) ...
Image Processing, Computer-Assisted Humans Signal Processing, Computer-Assisted Neural Networks, Computer Electromyography Algorithms Gestures Attention Time Factors Databases as Topic Pattern Recognition, Automated
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Decoding attentional states for neurofeedback: Mindfulness vs. wandering thoughts.

NeuroImage Oct 11, 2018
Neurofeedback requires a direct translation of neuronal brain activity to sensory input given to the user or subject. However, decoding certain states, e.g., mindfulness or wandering thoughts, from ongoing brain activity remains an unresolved problem...
Meditation Male Brain Mapping Attention Brain Neurofeedback Humans Female Machine Learning Mindfulness Adult Magnetoencephalography
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Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Sep 26, 2018
We present a novel multi-task convolutional neural network called Multi-task SonoEyeNet () that learns to generate clinically relevant visual attention maps using sonographer gaze tracking data on input ultrasound (US) video frames so as to assist st...
Eye Movements Image Processing, Computer-Assisted Attention Fetus Algorithms Reproducibility of Results Sensitivity and Specificity Humans Neural Networks, Computer
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Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2018
As humans we possess an intuitive ability for navigation which we master through years of practice; however existing approaches to model this trait for diverse tasks including monitoring pedestrian flow and detecting abnormal events have been limited...
Deep Learning Motion Attention Machine Learning Forecasting Databases, Factual Humans Neural Networks, Computer
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A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism.

Computational and mathematical methods in medicine Sep 13, 2018
Click-through rate prediction is critical in Internet advertising and affects web publisher's profits and advertiser's payment. The traditional method of obtaining features using feature extraction did not consider the sparseness of advertising data ...
Attention Informatics Advertising Humans Models, Statistical Algorithms Neural Networks, Computer Area Under Curve Reproducibility of Results Machine Learning Internet
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The impact of robotic intervention on joint attention in children with autism spectrum disorders.

Molecular autism Sep 4, 2018
BACKGROUND: A growing body of anecdotal evidence indicates that the use of robots may provide unique opportunities for assisting children with autism spectrum disorders (ASD). However, previous studies investigating the effects of interventions using...
Humans Autism Spectrum Disorder Female Child Behavior Robotics Male Attention Child, Preschool Social Behavior Child
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Multiview Multitask Gaze Estimation With Deep Convolutional Neural Networks.

IEEE transactions on neural networks and learning systems Sep 3, 2018
Gaze estimation, which aims to predict gaze points with given eye images, is an important task in computer vision because of its applications in human visual attention understanding. Many existing methods are based on a single camera, and most of the...
Photic Stimulation Fixation, Ocular Multitasking Behavior Humans Neural Networks, Computer Attention
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Distant supervision for relation extraction with hierarchical selective attention.

Neural networks : the official journal of the International Neural Network Society Aug 29, 2018
Distant supervised relation extraction is an important task in the field of natural language processing. There are two main shortcomings for most state-of-the-art methods. One is that they take all sentences of an entity pair as input, which would re...
Humans Databases, Factual Language Natural Language Processing Attention
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