Humans

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Shared spatiotemporal category representations in biological and artificial deep neural networks.

PLoS computational biology Jul 24, 2018
Visual scene category representations emerge very rapidly, yet the computational transformations that enable such invariant categorizations remain elusive. Deep convolutional neural networks (CNNs) perform visual categorization at near human-level ac...
Somatosensory Cortex Evoked Potentials Evoked Potentials, Somatosensory Brain Mapping Electroencephalography Vision, Ocular Photic Stimulation Electrodes Young Adult Male Adolescent Neural Networks, Computer Female Humans
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Application of Pythagorean fuzzy AHP and VIKOR methods in occupational health and safety risk assessment: the case of a gun and rifle barrel external surface oxidation and colouring unit.

International journal of occupational safety and ergonomics : JOSE Jul 23, 2018
The field of occupational health and safety (OHS) focuses on reducing occupational accidents to an acceptable level. OHS covers systematic efforts aimed at providing employee health, safety and welfare in the workplace. This study proposes a new appr...
Humans Risk Assessment Occupational Health Weapons Metallurgy Accidents, Occupational Fuzzy Logic
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3D-Aided Dual-Agent GANs for Unconstrained Face Recognition.

IEEE transactions on pattern analysis and machine intelligence Jul 23, 2018
Synthesizing realistic profile faces is beneficial for more efficiently training deep pose-invariant models for large-scale unconstrained face recognition, by augmenting the number of samples with extreme poses and avoiding costly annotation work. Ho...
Biometric Identification Imaging, Three-Dimensional Face Databases, Factual Deep Learning Humans
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Artificial Intelligence and Radiology: A Social Media Perspective.

Current problems in diagnostic radiology Jul 23, 2018
OBJECTIVE: To use Twitter to characterize public perspectives regarding artificial intelligence (AI) and radiology.
Social Media Humans Radiology Access to Information Artificial Intelligence United States Quality Improvement
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Deep Generative Adversarial Neural Networks for Compressive Sensing MRI.

IEEE transactions on medical imaging Jul 23, 2018
Undersampled magnetic resonance image (MRI) reconstruction is typically an ill-posed linear inverse task. The time and resource intensive computations require tradeoffs between accuracy and speed. In addition, state-of-the-art compressed sensing (CS)...
Humans Neural Networks, Computer Data Compression Knee Algorithms Magnetic Resonance Imaging Databases, Factual Phantoms, Imaging Adrenal Glands
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Learning to Segment Object Candidates via Recursive Neural Networks.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 23, 2018
To avoid the exhaustive search over locations and scales, current state-of-the-art object detection systems usually involve a crucial component generating a batch of candidate object proposals from images. In this paper, we present a simple yet effec...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Animals
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Utilizing Big Data in Cancer Care.

Surgical oncology clinics of North America Jul 23, 2018
Clinical research has boomed over the past decade, with the development of multiple clinical datasets that are available for retrospective review. However, data remain incomplete based on fragmented reporting, provider change, and loss of follow-up. ...
Neoplasms Computational Biology Data Mining Databases, Factual Patient-Centered Care Humans Precision Medicine Artificial Intelligence Electronic Health Records
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Improved multi-view privileged support vector machine.

Neural networks : the official journal of the International Neural Network Society Jul 23, 2018
Multi-view learning (MVL) concentrates on the problem of learning from the data represented by multiple distinct feature sets. The consensus and complementarity principles play key roles in multi-view modeling. By exploiting the consensus principle o...
Humans Photic Stimulation Support Vector Machine Pattern Recognition, Automated
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Extracting psychiatric stressors for suicide from social media using deep learning.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: Suicide has been one of the leading causes of deaths in the United States. One major cause of suicide is psychiatric stressors. The detection of psychiatric stressors in an at risk population will facilitate the early prevention of suicid...
Social Media Suicide Prevention Stress, Psychological Neural Networks, Computer Humans Algorithms Deep Learning
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OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: There is strong scientific evidence linking obesity and overweight to the risk of various cancers and to cancer survivorship. Nevertheless, the existing online information about the relationship between obesity and cancer is poorly organi...
Software Neoplasms PubMed Knowledge Bases Obesity Humans Machine Learning Evidence-Based Medicine Data Curation Information Storage and Retrieval Crowdsourcing Semantics
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