AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 451 to 460 of 780 articles

4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection.

IEEE transactions on neural networks and learning systems Jul 6, 2021
Due to the high availability of large-scale annotated image datasets, knowledge transfer from pretrained models showed outstanding performance in medical image classification. However, building a robust image classification model for datasets with da...
COVID-19 X-Rays Algorithms Humans Reproducibility of Results Deep Learning Knowledge Bases Neural Networks, Computer Artificial Intelligence ROC Curve Image Interpretation, Computer-Assisted Machine Learning Thorax
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Human-in-the-Loop Low-Shot Learning.

IEEE transactions on neural networks and learning systems Jul 6, 2021
We consider a human-in-the-loop scenario in the context of low-shot learning. Our approach was inspired by the fact that the viability of samples in novel categories cannot be sufficiently reflected by those limited observations. Some heterogeneous s...
Learning Feedback Reinforcement, Psychology Uncertainty Problem Solving Neural Networks, Computer Machine Learning Algorithms Humans
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Incremental Concept Learning via Online Generative Memory Recall.

IEEE transactions on neural networks and learning systems Jul 6, 2021
The ability to learn more concepts from incrementally arriving data over time is essential for the development of a lifelong learning system. However, deep neural networks often suffer from forgetting previously learned concepts when continually lear...
Online Systems Mental Recall Machine Learning Humans Algorithms Neural Networks, Computer Concept Formation
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Intrinsic Plasticity-Based Neuroadptive Control With Both Weights and Excitability Tuning.

IEEE transactions on neural networks and learning systems Jul 6, 2021
This brief presents an intrinsic plasticity (IP)-driven neural-network-based tracking control approach for a class of nonlinear uncertain systems. Inspired by the neural plasticity mechanism of individual neuron in nervous systems, a learning rule re...
Feedback Neuronal Plasticity Nonlinear Dynamics Algorithms Computer Simulation Neural Networks, Computer Machine Learning Humans
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A Survey of Stochastic Computing Neural Networks for Machine Learning Applications.

IEEE transactions on neural networks and learning systems Jul 6, 2021
Neural networks (NNs) are effective machine learning models that require significant hardware and energy consumption in their computing process. To implement NNs, stochastic computing (SC) has been proposed to achieve a tradeoff between hardware effi...
Stochastic Processes Humans Neural Networks, Computer Algorithms Neurons Machine Learning
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A Neural Network Based on the Metric Projector for Solving SOCCVI Problem.

IEEE transactions on neural networks and learning systems Jul 6, 2021
We propose an efficient neural network for solving the second-order cone constrained variational inequality (SOCCVI). The network is constructed using the Karush-Kuhn-Tucker (KKT) conditions of the variational inequality (VI), which is used to recast...
Algorithms Computer Simulation Nonlinear Dynamics Neural Networks, Computer Problem Solving
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Time-Frequency Representation and Convolutional Neural Network-Based Emotion Recognition.

IEEE transactions on neural networks and learning systems Jul 6, 2021
Emotions composed of cognizant logical reactions toward various situations. Such mental responses stem from physiological, cognitive, and behavioral changes. Electroencephalogram (EEG) signals provide a noninvasive and nonradioactive solution for emo...
Neural Networks, Computer Machine Learning Algorithms Humans Electroencephalography Pattern Recognition, Automated False Positive Reactions Female Brain-Computer Interfaces Young Adult Male Reproducibility of Results Emotions
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Dynamics Analysis and Design for a Bidirectional Super-Ring-Shaped Neural Network With n Neurons and Multiple Delays.

IEEE transactions on neural networks and learning systems Jul 6, 2021
Recently, the dynamics of delayed neural networks has always incurred the widespread concern of scholars. However, they are mostly confined to some simplified neural networks, which are only made up of a small amount of neurons. The main cause is tha...
Feedback Models, Neurological Neurons Algorithms Computer Simulation Neural Networks, Computer Linear Models
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Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization.

IEEE transactions on neural networks and learning systems Jul 6, 2021
Portfolio selection is one of the important issues in financial investments. This article is concerned with portfolio selection based on collaborative neurodynamic optimization. The classic Markowitz mean-variance (MV) framework and its variant mean ...
Computer Simulation Models, Neurological Models, Economic Neural Networks, Computer Algorithms
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Computing Primitive of Fully VCSEL-Based All-Optical Spiking Neural Network for Supervised Learning and Pattern Classification.

IEEE transactions on neural networks and learning systems Jun 2, 2021
We propose computing primitive for an all-optical spiking neural network (SNN) based on vertical-cavity surface-emitting lasers (VCSELs) for supervised learning by using biologically plausible mechanisms. The spike-timing-dependent plasticity (STDP) ...
Computer Systems Synapses Neural Networks, Computer Neuronal Plasticity Pattern Recognition, Automated Algorithms Lasers Supervised Machine Learning
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