AIMC Topic: Attention

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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...
Language Humans Deep Learning Memory Neural Networks, Computer Attention Data Collection Algorithms
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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 Neural Networks, Computer Algorithms Knowledge Bases Data Mining Attention
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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...
Brain Female Aged Brain Mapping Middle Aged Male Humans Stroke Cognitive Dysfunction Machine Learning Image Processing, Computer-Assisted Attention Support Vector Machine Perceptual Disorders
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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...
Humans Neural Networks, Computer Biomedical Technology Algorithms Electroencephalography ROC Curve Signal Processing, Computer-Assisted Support Vector Machine Attention Databases as Topic
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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...
Attention Humans Machine Learning Neural Networks, Computer Algorithms Databases, Factual Image Processing, Computer-Assisted
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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 ...
Male Middle Aged Case-Control Studies Time Factors Attention Automobile Driving Automation Protective Devices Artificial Intelligence Motor Vehicles Female Young Adult Adult Humans
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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...
Range of Motion, Articular Upper Extremity Male Stroke Rehabilitation Analysis of Variance Middle Aged Double-Blind Method Prospective Studies Spatial Navigation Memory Anxiety Exercise Therapy Female Virtual Reality Exposure Therapy Attention Cognition Aged Treatment Outcome Humans Hand Strength Biomechanical Phenomena Recovery of Function Robotics
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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 Humans Electronic Health Records Language Deep Learning
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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 Information Storage and Retrieval Language Deep Learning China
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Emotional arousal amplifies competitions across goal-relevant representation: A neurocomputational framework.

Cognition Mar 8, 2019
Emotional arousal often facilitates memory for some aspects of an event while impairing memory for other aspects of the same event. Across three experiments, we found that emotional arousal amplifies competition among goal-relevant representations, s...
Young Adult Adult Male Emotions Humans Neural Networks, Computer Pattern Recognition, Visual Attention Female Norepinephrine Conditioning, Classical Goals Memory, Short-Term Memory Models, Biological Facial Recognition
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