AIMC Topic: Neural Networks, Computer

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Reduced-order state estimation of delayed recurrent neural networks.

Neural networks : the official journal of the International Neural Network Society Nov 10, 2017
Different from the widely-studied full-order state estimator design, this paper focuses on dealing with the reduced-order state estimation problem for delayed recurrent neural networks. By employing an integral inequality, a delay-dependent design ap...
Neural Networks, Computer Time Factors
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Region stability analysis and tracking control of memristive recurrent neural network.

Neural networks : the official journal of the International Neural Network Society Nov 10, 2017
Memristor is firstly postulated by Leon Chua and realized by Hewlett-Packard (HP) laboratory. Research results show that memristor can be used to simulate the synapses of neurons. This paper presents a class of recurrent neural network with HP memris...
Nonlinear Dynamics Neural Networks, Computer Machine Learning
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Variable synaptic strengths controls the firing rate distribution in feedforward neural networks.

Journal of computational neuroscience Nov 10, 2017
Heterogeneity of firing rate statistics is known to have severe consequences on neural coding. Recent experimental recordings in weakly electric fish indicate that the distribution-width of superficial pyramidal cell firing rates (trial- and time-ave...
Pyramidal Cells Electric Fish Rhombencephalon Neural Pathways Electric Stimulation Animals Male Models, Neurological Female Neural Networks, Computer Action Potentials Computer Simulation Time Factors
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OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Nov 10, 2017
PURPOSE: Intravitreal injections with anti-vascular endothelial growth factor (anti-VEGF) medications have become the standard of care for their respective indications. Optical coherence tomography (OCT) scans of the central retina provide detailed a...
Vascular Endothelial Growth Factor A Angiogenesis Inducing Agents Humans Tomography, Optical Coherence Diabetic Retinopathy Macular Edema Algorithms Retrospective Studies Neural Networks, Computer ROC Curve Machine Learning
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Artificial neural networks to predict future bone mineral density and bone loss rate in Japanese postmenopausal women.

BMC research notes Nov 10, 2017
OBJECTIVE: Predictions of the future bone mineral density and bone loss rate are important to tailor medicine for women with osteoporosis, because of the possible presence of personal risk factors affecting the severity of osteoporosis in the future....
Neural Networks, Computer Bone Density Female Aged Osteoporosis Humans Middle Aged Postmenopause Japan
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Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms.

Physics in medicine and biology Nov 10, 2017
Transfer learning in deep convolutional neural networks (DCNNs) is an important step in its application to medical imaging tasks. We propose a multi-task transfer learning DCNN with the aim of translating the 'knowledge' learned from non-medical imag...
Humans Female Aged Aged, 80 and over Neural Networks, Computer Middle Aged Machine Learning Adult Diagnosis, Computer-Assisted Young Adult Breast Neoplasms Mammography
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A Bi-Objective RNN Model to Reconstruct Gene Regulatory Network: A Modified Multi-Objective Simulated Annealing Approach.

IEEE/ACM transactions on computational biology and bioinformatics Nov 9, 2017
Gene Regulatory Network (GRN) is a virtual network in a cellular context of an organism, comprising a set of genes and their internal relationships to regulate protein production rate (gene expression level) of each other through coded proteins. Comp...
Databases, Genetic Gene Expression Profiling Neural Networks, Computer Gene Regulatory Networks Algorithms Computational Biology
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New results on global exponential dissipativity analysis of memristive inertial neural networks with distributed time-varying delays.

Neural networks : the official journal of the International Neural Network Society Nov 9, 2017
This paper is concerned with the global exponential dissipativity of memristive inertial neural networks with discrete and distributed time-varying delays. By constructing appropriate Lyapunov-Krasovskii functionals, some new sufficient conditions en...
Algorithms Neural Networks, Computer
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Entity recognition in the biomedical domain using a hybrid approach.

Journal of biomedical semantics Nov 9, 2017
BACKGROUND: This article describes a high-recall, high-precision approach for the extraction of biomedical entities from scientific articles.
Terminology as Topic Vocabulary, Controlled Semantics Pattern Recognition, Automated Neural Networks, Computer Machine Learning Reproducibility of Results Data Mining Algorithms
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Improving precision of glomerular filtration rate estimating model by ensemble learning.

Journal of translational medicine Nov 9, 2017
BACKGROUND: Accurate assessment of kidney function is clinically important, but estimates of glomerular filtration rate (GFR) by regression are imprecise.
Humans Aged Adult Sensitivity and Specificity Machine Learning Female Neural Networks, Computer Glomerular Filtration Rate Kidney Function Tests Cohort Studies Quality Improvement Data Interpretation, Statistical Models, Theoretical Renal Insufficiency, Chronic Male Middle Aged
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