AIMC Topic: Neural Networks, Computer

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Design of deep echo state networks.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2018
In this paper, we provide a novel approach to the architectural design of deep Recurrent Neural Networks using signal frequency analysis. In particular, focusing on the Reservoir Computing framework and inspired by the principles related to the inher...
Pattern Recognition, Physiological Neural Networks, Computer Speech Humans
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Deep learning-based detection and classification of geographic atrophy using a deep convolutional neural network classifier.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Aug 8, 2018
PURPOSE: To automatically detect and classify geographic atrophy (GA) in fundus autofluorescence (FAF) images using a deep learning algorithm.
Humans Neural Networks, Computer Female Reproducibility of Results Aged Machine Learning Algorithms Tomography, Optical Coherence Fundus Oculi Fluorescein Angiography Geographic Atrophy Healthy Volunteers Sensitivity and Specificity Male Disease Progression Diagnosis, Computer-Assisted Middle Aged
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Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Features from Local and Global Regions Based on NIR Camera Sensor.

Sensors (Basel, Switzerland) Aug 8, 2018
Iris recognition systems have been used in high-security-level applications because of their high recognition rate and the distinctiveness of iris patterns. However, as reported by recent studies, an iris recognition system can be fooled by the use o...
Photography Iris Infrared Rays Humans Deep Learning Support Vector Machine Neural Networks, Computer
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Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering.

IEEE/ACM transactions on computational biology and bioinformatics Aug 7, 2018
Transcriptome in brain plays a crucial role in understanding the cortical organization and the development of brain structure and function. Two challenges, incomplete data and high dimensionality of transcriptome, remain unsolved. Here, we present a ...
Image Processing, Computer-Assisted Mice Cluster Analysis Atlases as Topic Computational Biology Animals In Situ Hybridization Gene Expression Profiling Neural Networks, Computer Transcriptome Brain
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Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding.

IEEE/ACM transactions on computational biology and bioinformatics Aug 7, 2018
Although convolutional neural networks (CNN) have outperformed conventional methods in predicting the sequence specificities of protein-DNA binding in recent years, they do not take full advantage of the intrinsic weakly-supervised information of DNA...
Binding Sites Computational Biology Transcription Factors Mice DNA-Binding Proteins Algorithms Supervised Machine Learning Neural Networks, Computer DNA Animals Protein Binding
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Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 7, 2018
Biological neural networks are systems of extraordinary computational capabilities shaped by evolution, development, and lifelong learning. The interplay of these elements leads to the emergence of biological intelligence. Inspired by such intricate ...
Neuronal Plasticity Machine Learning Nerve Net Models, Neurological Humans Forecasting Neurons Neural Networks, Computer Computer Simulation
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Multiscaled Fusion of Deep Convolutional Neural Networks for Screening Atrial Fibrillation From Single Lead Short ECG Recordings.

IEEE journal of biomedical and health informatics Aug 7, 2018
Atrial fibrillation (AF) is one of the most common sustained chronic cardiac arrhythmia in elderly population, associated with a high mortality and morbidity in stroke, heart failure, coronary artery disease, systemic thromboembolism, etc. The early ...
Humans Neural Networks, Computer Electrocardiography Algorithms Signal Processing, Computer-Assisted ROC Curve Atrial Fibrillation
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Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging.

International journal of computer assisted radiology and surgery Aug 7, 2018
PURPOSE: We propose an approach of 3D convolutional neural network to segment the prostate in MR images.
Male Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Neural Networks, Computer Prostate
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Drug Repurposing Using Deep Embeddings of Gene Expression Profiles.

Molecular pharmaceutics Aug 7, 2018
Computational drug repositioning requires assessment of the functional similarities among compounds. Here, we report a new method for measuring compound functional similarity based on gene expression data. This approach takes advantage of deep neural...
Drug Discovery Computational Biology Drug Repositioning Neural Networks, Computer Algorithms
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Face Space Representations in Deep Convolutional Neural Networks.

Trends in cognitive sciences Aug 7, 2018
Inspired by the primate visual system, deep convolutional neural networks (DCNNs) have made impressive progress on the complex problem of recognizing faces across variations of viewpoint, illumination, expression, and appearance. This generalized fac...
Visual Cortex Neural Networks, Computer Animals Facial Recognition Humans
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