AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 441 to 450 of 780 articles

Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning.

IEEE transactions on neural networks and learning systems Aug 31, 2021
Medical imaging technologies, including computed tomography (CT) or chest X-Ray (CXR), are largely employed to facilitate the diagnosis of the COVID-19. Since manual report writing is usually too time-consuming, a more intelligent auxiliary medical s...
Writing Transfer, Psychology China Research Report Humans COVID-19 Artificial Intelligence Algorithms Machine Learning Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Terminology as Topic
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Adaptive Dropout Method Based on Biological Principles.

IEEE transactions on neural networks and learning systems Aug 31, 2021
Dropout is one of the most widely used methods to avoid overfitting neural networks. However, it rigidly and randomly activates neurons according to a fixed probability, which is not consistent with the activation mode of neurons in the human cerebra...
Humans Neurons Neural Networks, Computer Cerebral Cortex Algorithms Deep Learning Models, Neurological
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Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery.

IEEE transactions on neural networks and learning systems Aug 31, 2021
Symbolic regression is a powerful technique to discover analytic equations that describe data, which can lead to explainable models and the ability to predict unseen data. In contrast, neural networks have achieved amazing levels of accuracy on image...
Deep Learning Computer Systems Linear Models Neural Networks, Computer Research Design Feedback Humans Biomechanical Phenomena
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Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction.

IEEE transactions on neural networks and learning systems Aug 31, 2021
Electronic health records (EHRs) are characterized as nonstationary, heterogeneous, noisy, and sparse data; therefore, it is challenging to learn the regularities or patterns inherent within them. In particular, sparseness caused mostly by many missi...
Predictive Value of Tests Stochastic Processes Uncertainty Deep Learning Hospital Mortality Computational Biology Algorithms Electronic Health Records Humans Neural Networks, Computer
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Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface.

IEEE transactions on neural networks and learning systems Aug 31, 2021
The performance of a classifier in a brain-computer interface (BCI) system is highly dependent on the quality and quantity of training data. Typically, the training data are collected in a laboratory where the users perform tasks in a controlled envi...
Electroencephalography Attention Healthy Volunteers Psychomotor Performance Young Adult Adult Male Brain-Computer Interfaces Imagination Humans Neural Networks, Computer Machine Learning Female Reproducibility of Results Algorithms Computer Simulation
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Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning.

IEEE transactions on neural networks and learning systems Aug 31, 2021
As a group of complex neurodevelopmental disorders, autism spectrum disorder (ASD) has been reported to have a high overall prevalence, showing an unprecedented spurt since 2000. Due to the unclear pathomechanism of ASD, it is challenging to diagnose...
Neural Networks, Computer Machine Learning Algorithms Biomarkers Humans Gene-Environment Interaction Databases, Genetic Autistic Disorder Hazardous Substances Autism Spectrum Disorder Computer Simulation Risk Assessment
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RCoNet: Deformable Mutual Information Maximization and High-Order Uncertainty-Aware Learning for Robust COVID-19 Detection.

IEEE transactions on neural networks and learning systems Aug 3, 2021
The novel 2019 Coronavirus (COVID-19) infection has spread worldwide and is currently a major healthcare challenge around the world. Chest computed tomography (CT) and X-ray images have been well recognized to be two effective techniques for clinical...
Humans Information Systems Pneumonia Uncertainty Expert Systems Neural Networks, Computer Thorax COVID-19 Algorithms Deep Learning Diagnosis, Differential Tomography, X-Ray Computed Reproducibility of Results
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Concurrent Associative Memories With Synaptic Delays.

IEEE transactions on neural networks and learning systems Aug 3, 2021
This article presents concurrent associative memories with synaptic delays useful for processing sequences of real vectors. Associative memories with synaptic delays were introduced by the authors for symbolic sequential inputs and demonstrated sever...
Neural Networks, Computer Algorithms Databases, Factual Synapses Speech Recognition Software Deep Learning Models, Neurological Humans Memory Association Learning
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Long-Tailed Characteristic of Spiking Pattern Alternation Induced by Log-Normal Excitatory Synaptic Distribution.

IEEE transactions on neural networks and learning systems Aug 3, 2021
Studies of structural connectivity at the synaptic level show that in synaptic connections of the cerebral cortex, the excitatory postsynaptic potential (EPSP) in most synapses exhibits sub-mV values, while a small number of synapses exhibit large EP...
Synaptic Transmission Excitatory Postsynaptic Potentials Cerebral Cortex Nerve Net Entropy Nonlinear Dynamics Algorithms Humans Synapses Models, Neurological Neural Networks, Computer
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Nonfragile H State Estimation for Recurrent Neural Networks With Time-Varying Delays: On Proportional-Integral Observer Design.

IEEE transactions on neural networks and learning systems Aug 3, 2021
In this article, a novel proportional-integral observer (PIO) design approach is proposed for the nonfragile H state estimation problem for a class of discrete-time recurrent neural networks with time-varying delays. The developed PIO is equipped wit...
Humans Neural Networks, Computer Least-Squares Analysis Algorithms Equipment Design Probability Binomial Distribution Computer Simulation Reproducibility of Results
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