AIMC Topic: Neural Networks, Computer

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Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm.

Computer methods and programs in biomedicine Dec 16, 2017
Background and Objective Fatty Liver Disease (FLD) - a disease caused by deposition of fat in liver cells, is predecessor to terminal diseases such as liver cancer. The machine learning (ML) techniques applied for FLD detection and risk stratificatio...
Diagnosis, Computer-Assisted Support Vector Machine Image Interpretation, Computer-Assisted Machine Learning Ultrasonography Fatty Liver Benchmarking ROC Curve Reproducibility of Results Computational Biology Humans Risk Factors Neural Networks, Computer
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Detecting atrial fibrillation by deep convolutional neural networks.

Computers in biology and medicine Dec 15, 2017
BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia. The incidence of AF increases with age, causing high risks of stroke and increased morbidity and mortality. Efficient and accurate diagnosis of AF based on the ECG is valuabl...
Electronic Data Processing Male Electrocardiography Atrial Fibrillation Neural Networks, Computer Female Humans
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Forecasting influenza-like illness dynamics for military populations using neural networks and social media.

PloS one Dec 15, 2017
This work is the first to take advantage of recurrent neural networks to predict influenza-like illness (ILI) dynamics from various linguistic signals extracted from social media data. Unlike other approaches that rely on timeseries analysis of histo...
Military Personnel Epidemiological Monitoring Social Media Humans Time Factors Machine Learning Influenza, Human Neural Networks, Computer United States Forecasting Regression Analysis
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Multi-Objective Optimization Algorithm to Discover Condition-Specific Modules in Multiple Networks.

Molecules (Basel, Switzerland) Dec 14, 2017
The advances in biological technologies make it possible to generate data for multiple conditions simultaneously. Discovering the condition-specific modules in multiple networks has great merit in understanding the underlying molecular mechanisms of ...
Humans Neural Networks, Computer Computational Biology Gene Expression Regulation Signal Transduction Neoplasm Staging Models, Biological Cell Line Breast Neoplasms Gene Expression Profiling Gene Regulatory Networks Algorithms Biomarkers
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Neural Network Modeling of AChE Inhibition by New Carbazole-Bearing Oxazolones.

Interdisciplinary sciences, computational life sciences Dec 13, 2017
Acetylcholine esterase (AChE) is one of the targeted enzymes in the therapy of important neurodegenerative diseases such as Alzheimer's disease. Many studies on carbazole- and oxazolone-based compounds have been conducted in the last decade due to th...
Cholinesterase Inhibitors Carbazoles Oxazolone Structure-Activity Relationship Alzheimer Disease Neural Networks, Computer
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Self-learning robust optimal control for continuous-time nonlinear systems with mismatched disturbances.

Neural networks : the official journal of the International Neural Network Society Dec 13, 2017
This paper presents a novel adaptive dynamic programming(ADP)-based self-learning robust optimal control scheme for input-affine continuous-time nonlinear systems with mismatched disturbances. First, the stabilizing feedback controller for original n...
Computer Simulation Learning Machine Learning Nonlinear Dynamics Feedback Neural Networks, Computer
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Modeling spike-wave discharges by a complex network of neuronal oscillators.

Neural networks : the official journal of the International Neural Network Society Dec 13, 2017
PURPOSE: The organization of neural networks and the mechanisms, which generate the highly stereotypical for absence epilepsy spike-wave discharges (SWDs) is heavily debated. Here we describe such a model which can both reproduce the characteristics ...
Electroencephalography Seizures Neurons Disease Models, Animal Action Potentials Epilepsy, Absence Thalamus Somatosensory Cortex Humans Brain Animals Neural Networks, Computer
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Protein-Protein Interaction Article Classification Using a Convolutional Recurrent Neural Network with Pre-trained Word Embeddings.

Journal of integrative bioinformatics Dec 13, 2017
Curation of protein interactions from scientific articles is an important task, since interaction networks are essential for the understanding of biological processes associated with disease or pharmacological action for example. However, the increas...
Algorithms Semantics Protein Interaction Mapping Neural Networks, Computer
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Multilayer perceptron architecture optimization using parallel computing techniques.

PloS one Dec 13, 2017
The objective of this research was to develop a methodology for optimizing multilayer-perceptron-type neural networks by evaluating the effects of three neural architecture parameters, namely, number of hidden layers (HL), neurons per hidden layer (N...
Algorithms Computers Cattle Models, Neurological Animals Neural Networks, Computer Milk
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Particle swarm optimization-based automatic parameter selection for deep neural networks and its applications in large-scale and high-dimensional data.

PloS one Dec 13, 2017
In this paper, we propose a new automatic hyperparameter selection approach for determining the optimal network configuration (network structure and hyperparameters) for deep neural networks using particle swarm optimization (PSO) in combination with...
Algorithms Neural Networks, Computer Computer Simulation
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