AIMC Topic: Attention

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Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 9, 2019
Neuroprosthesis enables the brain control on the external devices purely using neural activity for paralyzed people. Supervised learning decoders recalibrate or re-fit the discrepancy between the desired target and decoder's output, where the correct...
Computer Simulation Animals Reinforcement, Psychology Cluster Analysis Motor Cortex Brain-Computer Interfaces Electrodes, Implanted Attention Machine Learning Haplorhini Neural Prostheses Algorithms Movement
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Leveraging Contextual Sentences for Text Classification by Using a Neural Attention Model.

Computational intelligence and neuroscience Aug 1, 2019
We explored several approaches to incorporate context information in the deep learning framework for text classification, including designing different attention mechanisms based on different neural network and extracting some additional features fro...
Data Collection Language Humans Memory Deep Learning Neural Networks, Computer Algorithms Attention
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Dual CNN for Relation Extraction with Knowledge-Based Attention and Word Embeddings.

Computational intelligence and neuroscience Jul 14, 2019
Relation extraction is the underlying critical task of textual understanding. However, the existing methods currently have defects in instance selection and lack background knowledge for entity recognition. In this paper, we propose a knowledge-based...
Humans Attention Knowledge Bases Neural Networks, Computer Data Mining Algorithms
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Using machine learning-based lesion behavior mapping to identify anatomical networks of cognitive dysfunction: Spatial neglect and attention.

NeuroImage Jul 9, 2019
Previous lesion behavior studies primarily used univariate lesion behavior mapping techniques to map the anatomical basis of spatial neglect after right brain damage. These studies led to inconsistent results and lively controversies. Given these inc...
Perceptual Disorders Middle Aged Cognitive Dysfunction Image Processing, Computer-Assisted Brain Humans Stroke Aged Female Machine Learning Male Attention Support Vector Machine Brain Mapping
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FusionAtt: Deep Fusional Attention Networks for Multi-Channel Biomedical Signals.

Sensors (Basel, Switzerland) May 28, 2019
Recently, pervasive sensing technologies have been widely applied to comprehensive patient monitoring in order to improve clinical treatment. Various types of biomedical signals collected by different sensing channels provide different aspects of pat...
Electroencephalography Signal Processing, Computer-Assisted Attention Databases as Topic Algorithms ROC Curve Support Vector Machine Biomedical Technology Humans Neural Networks, Computer
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Saliency From Growing Neural Gas: Learning Pre-Attentional Structures for a Flexible Attention System.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 2, 2019
Artificial visual attention has been an active research area for over two decades. Especially, the concept of saliency has been implemented in many different ways. Early approaches aimed at closely modeling saliency processing with concepts from biol...
Machine Learning Algorithms Databases, Factual Image Processing, Computer-Assisted Humans Neural Networks, Computer Attention
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Evaluate driver response to active warning system in level-2 automated vehicles.

Accident; analysis and prevention Apr 18, 2019
As vehicles with automated functions become more prevalent on U.S. roadways, maintaining driver attention while the vehicle is engaged in automation will be an important consideration for safe operation of these vehicles. The objective of this paper ...
Motor Vehicles Female Attention Young Adult Middle Aged Automobile Driving Humans Adult Case-Control Studies Automation Artificial Intelligence Male Time Factors Protective Devices
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Influence of New Technologies on Post-Stroke Rehabilitation: A Comparison of Armeo Spring to the Kinect System.

Medicina (Kaunas, Lithuania) Apr 9, 2019
BACKGROUND: New technologies to improve post-stroke rehabilitation outcomes are of great interest and have a positive impact on functional, motor, and cognitive recovery. Identifying the most effective rehabilitation intervention is a recognized prio...
Middle Aged Anxiety Cognition Recovery of Function Robotics Treatment Outcome Hand Strength Female Aged Biomechanical Phenomena Upper Extremity Male Range of Motion, Articular Stroke Rehabilitation Humans Analysis of Variance Spatial Navigation Prospective Studies Memory Double-Blind Method Virtual Reality Exposure Therapy Exercise Therapy Attention
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A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: The Named Entity Recognition (NER) task as a key step in the extraction of health information, has encountered many challenges in Chinese Electronic Medical Records (EMRs). Firstly, the casual use of Chinese abbreviations and doctors' per...
Attention Information Storage and Retrieval Speech China Natural Language Processing Language Deep Learning Humans Electronic Health Records
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Attention-based deep residual learning network for entity relation extraction in Chinese EMRs.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Electronic medical records (EMRs) contain a variety of valuable medical concepts and relations. The ability to recognize relations between medical concepts described in EMRs enables the automatic processing of clinical texts, resulting in...
Humans Electronic Health Records Attention Language Information Storage and Retrieval Deep Learning China
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