AIMC Topic: Neural Networks, Computer

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Multi-label zero-shot learning with graph convolutional networks.

Neural networks : the official journal of the International Neural Network Society Sep 21, 2020
The goal of zero-shot learning (ZSL) is to build a classifier that recognizes novel categories with no corresponding annotated training data. The typical routine is to transfer knowledge from seen classes to unseen ones by learning a visual-semantic ...
Humans Neural Networks, Computer Machine Learning Semantics Pattern Recognition, Automated
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COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images.

Interdisciplinary sciences, computational life sciences Sep 21, 2020
The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a major pandemic outbreak recently. Various diagnostic technologies have been under active development. The novel coronavirus disease (COVID-19) may induce ...
X-Rays Clinical Laboratory Techniques Betacoronavirus COVID-19 Testing Datasets as Topic Pneumonia, Viral Coronavirus Pneumonia Radiography Models, Biological SARS-CoV-2 Coronavirus Infections Lung Reference Values Humans Deep Learning Neural Networks, Computer Machine Learning Pandemics COVID-19 Algorithms Databases, Factual Tomography, X-Ray Computed
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A machine learning approach for magnetic resonance image-based mouse brain modeling and fast computation in controlled cortical impact.

Medical & biological engineering & computing Sep 21, 2020
Computational modeling of the brain is crucial for the study of traumatic brain injury. An anatomically accurate model with refined details could provide the most accurate computational results. However, computational models with fine mesh details co...
Machine Learning Brain Computer Simulation Neural Networks, Computer Finite Element Analysis Magnetic Resonance Imaging Brain Injuries Mice, Inbred C57BL Animals Image Processing, Computer-Assisted
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Predictions of coronavirus COVID-19 distinct cases in Pakistan through an artificial neural network.

Epidemiology and infection Sep 21, 2020
This study presents the main motivation to investigate the COVID-19 pandemic, a major threat to the whole world from the day when it first emerged in China city of Wuhan. Predictions on the number of cases of COVID-19 are crucial in order to prevent ...
Coronavirus Infections Pakistan Betacoronavirus Humans Pneumonia, Viral Forecasting Neural Networks, Computer SARS-CoV-2 Pandemics COVID-19
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Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction.

Computer methods and programs in biomedicine Sep 20, 2020
BACKGROUND AND OBJECTIVE: Alzheimer's disease (AD) is the most common type of dementia that can seriously affect a person's ability to perform daily activities. Estimates indicate that AD may rank third as a cause of death for older people, after hea...
Area Under Curve Aged Humans Alzheimer Disease Aged, 80 and over Neural Networks, Computer Deep Learning
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High-content image generation for drug discovery using generative adversarial networks.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2020
Immense amount of high-content image data generated in drug discovery screening requires computationally driven automated analysis. Emergence of advanced machine learning algorithms, like deep learning models, has transformed the interpretation and a...
Data Accuracy Drug Discovery Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Deep learning object detection of maxillary cyst-like lesions on panoramic radiographs: preliminary study.

Oral radiology Sep 19, 2020
OBJECTIVES: This study aimed to examine the performance of deep learning object detection technology for detecting and identifying maxillary cyst-like lesions on panoramic radiography.
Deep Learning Radiography, Panoramic Cysts Humans Neural Networks, Computer
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Learning to select actions shapes recurrent dynamics in the corticostriatal system.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2020
Learning to select appropriate actions based on their values is fundamental to adaptive behavior. This form of learning is supported by fronto-striatal systems. The dorsal-lateral prefrontal cortex (dlPFC) and the dorsal striatum (dSTR), which are st...
Neurons Corpus Striatum Haplorhini Prefrontal Cortex Models, Neurological Neural Networks, Computer Learning Animals
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Exponential synchronization of neural networks with time-varying delays and stochastic impulses.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2020
This paper concentrates on the exponential synchronization problem of the delayed neural networks (DNNs) with stochastic impulses. First, the impulsive Halanay differential inequality is further extended to the case that the impulsive strengths are r...
Time Factors Markov Chains Stochastic Processes Neural Networks, Computer
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Hybrid tensor decomposition in neural network compression.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2020
Deep neural networks (DNNs) have enabled impressive breakthroughs in various artificial intelligence (AI) applications recently due to its capability of learning high-level features from big data. However, the current demand of DNNs for computational...
Algorithms Deep Learning Data Compression Neural Networks, Computer Artificial Intelligence
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