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Interactive reservoir computing for chunking information streams.

PLoS computational biology Oct 8, 2018
Chunking is the process by which frequently repeated segments of temporal inputs are concatenated into single units that are easy to process. Such a process is fundamental to time-series analysis in biological and artificial information processing sy...
Models, Neurological Unsupervised Machine Learning Brain Learning Computational Biology Humans Neural Networks, Computer
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Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies.

Computational intelligence and neuroscience Oct 8, 2018
Over the recent years, ontologies are widely used in various domains such as medical records annotation, medical knowledge representation and sharing, clinical guideline management, and medical decision-making. To implement the cooperation between in...
Humans Biological Evolution Algorithms Biological Ontologies
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Social Touch Gesture Recognition Using Convolutional Neural Network.

Computational intelligence and neuroscience Oct 8, 2018
Recently, social touch gesture recognition has been considered an important topic for touch modality, which can lead to highly efficient and realistic human-robot interaction. In this paper, a deep convolutional neural network is selected to implemen...
(1)
Interpersonal Relations Touch Female Male Gestures Humans Neural Networks, Computer Robotics Pattern Recognition, Automated Social Behavior
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Decision-Tree Based Meta-Strategy Improved Accuracy of Disorder Prediction and Identified Novel Disordered Residues Inside Binding Motifs.

International journal of molecular sciences Oct 7, 2018
Using computational techniques to identify intrinsically disordered residues is practical and effective in biological studies. Therefore, designing novel high-accuracy strategies is always preferable when existing strategies have a lot of room for im...
(1)
Intrinsically Disordered Proteins Sequence Analysis, Protein Humans Neural Networks, Computer Software
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Machine learning in neuroimaging: Progress and challenges.

NeuroImage Oct 6, 2018
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Humans Neuroimaging Machine Learning Brain
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Diagnosis of T-cell-mediated kidney rejection in formalin-fixed, paraffin-embedded tissues using RNA-Seq-based machine learning algorithms.

Human pathology Oct 6, 2018
Molecular diagnosis is being increasingly used in transplant pathology to render more objective and quantitative determinations that also provide mechanistic and prognostic insights. This study performed RNA-Seq on biopsies from kidneys with stable f...
Paraffin Embedding Male Middle Aged Sequence Analysis, RNA Graft Rejection Formaldehyde Tissue Fixation Young Adult Adult T-Lymphocytes Kidney Transplantation Female Aged Machine Learning Algorithms Humans
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Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.

NeuroImage Oct 6, 2018
The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS) patients. Segmentation of the spinal cord and lesions from MRI data provides measures of damage, which are key criteria for the diagnosis, prognosis, and long...
Humans Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity Spinal Cord Observer Variation Image Processing, Computer-Assisted Pattern Recognition, Automated Magnetic Resonance Imaging Multiple Sclerosis
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Automatic detection of oral and pharyngeal phases in swallowing using classification algorithms and multichannel EMG.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Oct 6, 2018
Swallowing is a complex process that involves sequential voluntary and involuntary muscle contractions. Malfunctioning of swallowing related muscles could lead to dysphagia. However, there is a lack of standardized and non-invasive methods that suppo...
Female Pharynx Aged Signal-To-Noise Ratio Support Vector Machine Aged, 80 and over Deglutition Electromyography Humans Mouth Adult Male Middle Aged
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relSCAN - A system for extracting chemical-induced disease relation from biomedical literature.

Journal of biomedical informatics Oct 6, 2018
This paper proposes an effective and robust approach for Chemical-Induced Disease (CID) relation extraction from PubMed articles. The study was performed on the Chemical Disease Relation (CDR) task of BioCreative V track-3 corpus. The proposed system...
Algorithms Support Vector Machine Decision Making Humans Machine Learning Medical Informatics Random Allocation Disease Regression Analysis Publications Data Mining Chemically-Induced Disorders
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Automated segmentation of en face choroidal images obtained by optical coherent tomography by machine learning.

Japanese journal of ophthalmology Oct 6, 2018
PURPOSE: To develop an automated method to segment the choroidal layers of en face optical coherent tomography (OCT) images by machine learning.
Young Adult Adult Cross-Sectional Studies Reproducibility of Results Aged Aged, 80 and over Choroid Tomography, Optical Coherence Healthy Volunteers Retinal Pigment Epithelium Male Middle Aged Imaging, Three-Dimensional Humans Machine Learning Prospective Studies Female
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