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Early Expression Detection via Online Multi-Instance Learning With Nonlinear Extension.

IEEE transactions on neural networks and learning systems Oct 3, 2018
Video-based facial expression recognition has received substantial attention over the past decade, while early expression detection (EED) is still a relatively new and challenging problem. The goal of EED is to identify an expression as quickly as po...
Facial Expression Neural Networks, Computer Biometric Identification Artificial Intelligence Machine Learning Time Factors Nonlinear Dynamics Video Recording Pattern Recognition, Automated Humans
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Predicting hospital associated disability from imbalanced data using supervised learning.

Artificial intelligence in medicine Oct 3, 2018
Hospitalization of elderly patients can lead to serious adverse effects on their functional capability. Identifying the underlying factors leading to such adverse effects is an active area of medical research. The purpose of the current paper is to s...
Hospitalization Aged Persons with Disabilities Supervised Machine Learning Humans Finland
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Detection of gastritis by a deep convolutional neural network from double-contrast upper gastrointestinal barium X-ray radiography.

Journal of gastroenterology Oct 3, 2018
BACKGROUND: Deep learning has become a new trend of image recognition tasks in the field of medicine. We developed an automated gastritis detection system using double-contrast upper gastrointestinal barium X-ray radiography.
Humans Neural Networks, Computer Retrospective Studies Female Deep Learning Radiography Gastritis False Negative Reactions Sensitivity and Specificity Male Middle Aged Barium
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Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG-PET/CT in Hodgkin and non-Hodgkin lymphomas.

Clinical physiology and functional imaging Oct 3, 2018
BACKGROUND: 18F-FDG-PET/CT has become a standard for assessing treatment response in patients with lymphoma. A subjective interpretation of the scan based on the Deauville 5-point scale has been widely adopted. However, inter-observer variability due...
Hodgkin Disease Humans Neural Networks, Computer Retrospective Studies Automation Female Fluorodeoxyglucose F18 Adolescent Mediastinum Positron Emission Tomography Computed Tomography Treatment Outcome Young Adult Reproducibility of Results Radiopharmaceuticals Liver Adult Aged Lymphoma, Non-Hodgkin Predictive Value of Tests Male Aged, 80 and over Image Interpretation, Computer-Assisted Middle Aged
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Estimation theory and Neural Networks revisited: REKF and RSVSF as optimization techniques for Deep-Learning.

Neural networks : the official journal of the International Neural Network Society Oct 3, 2018
Deep-Learning has become a leading strategy for artificial intelligence and is being applied in many fields due to its excellent performance that has surpassed human cognitive abilities in a number of classification and control problems (Ciregan, Mei...
Algorithms Deep Learning Computing Methodologies Humans Neural Networks, Computer Artificial Intelligence
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Detecting drug-resistant tuberculosis in chest radiographs.

International journal of computer assisted radiology and surgery Oct 3, 2018
PURPOSE: Tuberculosis is a major global health threat claiming millions of lives each year. While the total number of tuberculosis cases has been decreasing over the last years, the rise of drug-resistant tuberculosis has reduced the chance of contro...
Tuberculosis, Multidrug-Resistant Probability Radiography, Thoracic Tomography, X-Ray Computed Female Male Middle Aged Pilot Projects ROC Curve Diagnosis, Differential Humans Neural Networks, Computer Machine Learning
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Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials.

Journal of neural engineering Oct 3, 2018
OBJECTIVE: Steady-state visual evoked potentials (SSVEPs) are neural oscillations from the parietal and occipital regions of the brain that are evoked from flickering visual stimuli. SSVEPs are robust signals measurable in the electroencephalogram (E...
Healthy Volunteers Humans Brain-Computer Interfaces Evoked Potentials, Visual Visual Cortex Photic Stimulation Adult Neural Networks, Computer Electroencephalography Machine Learning Signal Processing, Computer-Assisted Algorithms Reproducibility of Results
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Machine Learning Classification and Structure-Functional Analysis of Cancer Mutations Reveal Unique Dynamic and Network Signatures of Driver Sites in Oncogenes and Tumor Suppressor Genes.

Journal of chemical information and modeling Oct 3, 2018
In this study, we developed two cancer-specific machine learning classifiers for prediction of driver mutations in cancer-associated genes that were validated on canonical data sets of functionally validated mutations and applied to a large cancer ge...
(1)
Gene Expression Regulation, Neoplastic Mutation Genes, Tumor Suppressor Oncogenes Humans Machine Learning Neoplasms
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Deep learning based low-cost high-accuracy diagnostic framework for dementia using comprehensive neuropsychological assessment profiles.

BMC geriatrics Oct 3, 2018
BACKGROUND: The conventional scores of the neuropsychological batteries are not fully optimized for diagnosing dementia despite their variety and abundance of information. To achieve low-cost high-accuracy diagnose performance for dementia using a ne...
Cost-Benefit Analysis Neuropsychological Tests Cognitive Aging Female Cohort Studies Aged Cognition Middle Aged Aged, 80 and over Humans Longitudinal Studies Deep Learning Republic of Korea Alzheimer Disease Male Dementia
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A Dexterous, Glove-Based Teleoperable Low-Power Soft Robotic Arm for Delicate Deep-Sea Biological Exploration.

Scientific reports Oct 3, 2018
Modern marine biologists seeking to study or interact with deep-sea organisms are confronted with few options beyond industrial robotic arms, claws, and suction samplers. This limits biological interactions to a subset of "rugged" and mostly immotile...
(1)
Coral Reefs Marine Biology Robotics Aquatic Organisms Biodiversity Seawater Humans Ecosystem
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