AIMC Topic:
Databases, Factual

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Visual Kinship Recognition of Families in the Wild.

IEEE transactions on pattern analysis and machine intelligence Apr 13, 2018
We present the largest database for visual kinship recognition, Families In the Wild (FIW), with over 13,000 family photos of 1,000 family trees with 4-to-38 members. It took only a small team to build FIW with efficient labeling tools and work-flow....
Deep Learning Family Characteristics Cluster Analysis Supervised Machine Learning Face Pattern Recognition, Automated Databases, Factual Female Male Humans Neural Networks, Computer Algorithms Family Photography Family Relations
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Using artificial intelligence to predict prolonged mechanical ventilation and tracheostomy placement.

The Journal of surgical research Apr 11, 2018
BACKGROUND: Early identification of critically ill patients who will require prolonged mechanical ventilation (PMV) has proven to be difficult. The purpose of this study was to use machine learning to identify patients at risk for PMV and tracheostom...
Respiration, Artificial Severity of Illness Index Length of Stay Critical Illness Intensive Care Units Risk Assessment Supervised Machine Learning Patient Selection Critical Care Tracheostomy Time Factors Treatment Outcome Feasibility Studies Humans Decision Support Techniques Databases, Factual
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Ensemble of Rotation Trees for Imbalanced Medical Datasets.

Journal of healthcare engineering Apr 10, 2018
Medical datasets are often predominately composed of "normal" examples with only a small percentage of "abnormal" ones and how to correctly recognize the abnormal examples is very meaningful. However, conventional classification learning methods try ...
Humans Databases, Factual Machine Learning Computational Biology Algorithms Decision Trees
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Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model.

IEEE transactions on bio-medical engineering Apr 9, 2018
Brain-wide and genome-wide association (BW-GWA) study is presented in this paper to identify the associations between the brain imaging phenotypes (i.e., regional volumetric measures) and the genetic variants [i.e., single nucleotide polymorphism (SN...
Brain Genome-Wide Association Study Polymorphism, Single Nucleotide Regression Analysis Alzheimer Disease Humans Computational Biology Machine Learning Magnetic Resonance Imaging Databases, Factual
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KIKI-net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images.

Magnetic resonance in medicine Apr 6, 2018
PURPOSE: To demonstrate accurate MR image reconstruction from undersampled k-space data using cross-domain convolutional neural networks (CNNs) METHODS: Cross-domain CNNs consist of 3 components: (1) a deep CNN operating on the k-space (KCNN), (2) a ...
Humans Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Signal-To-Noise Ratio Neural Networks, Computer Algorithms Databases, Factual
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Spiking neural networks for handwritten digit recognition-Supervised learning and network optimization.

Neural networks : the official journal of the International Neural Network Society Apr 6, 2018
We demonstrate supervised learning in Spiking Neural Networks (SNNs) for the problem of handwritten digit recognition using the spike triggered Normalized Approximate Descent (NormAD) algorithm. Our network that employs neurons operating at sparse bi...
Neurons Pattern Recognition, Automated Memory Databases, Factual Handwriting Learning Supervised Machine Learning Humans Neural Networks, Computer Algorithms
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Personalized response generation by Dual-learning based domain adaptation.

Neural networks : the official journal of the International Neural Network Society Apr 5, 2018
Open-domain conversation is one of the most challenging artificial intelligence problems, which involves language understanding, reasoning, and the utilization of common sense knowledge. The goal of this paper is to further improve the response gener...
Humans Learning Machine Learning Artificial Intelligence Databases, Factual Multilingualism Language
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Deformable Image Registration Using a Cue-Aware Deep Regression Network.

IEEE transactions on bio-medical engineering Apr 4, 2018
SIGNIFICANCE: Analysis of modern large-scale, multicenter or diseased data requires deformable registration algorithms that can cope with data of diverse nature.
Imaging, Three-Dimensional Image Processing, Computer-Assisted Nonlinear Dynamics Brain Tomography, X-Ray Computed Deep Learning Humans Algorithms Databases, Factual
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A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.

PloS one Apr 3, 2018
Over 26 million people worldwide suffer from heart failure annually. When the cause of heart failure cannot be identified, endomyocardial biopsy (EMB) represents the gold-standard for the evaluation of disease. However, manual EMB interpretation has ...
Heart Failure Humans Male Female Image Interpretation, Computer-Assisted Neural Networks, Computer Middle Aged Aged Databases, Factual Biopsy Adult
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MetStabOn-Online Platform for Metabolic Stability Predictions.

International journal of molecular sciences Mar 30, 2018
Metabolic stability is an important parameter to be optimized during the complex process of designing new active compounds. Tuning this parameter with the simultaneous maintenance of a desired compound's activity is not an easy task due to the extrem...
Humans Databases, Factual Machine Learning Animals Computer Simulation Software Bayes Theorem Algorithms
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