AIMC Journal:
Neural networks : the official journal of the International Neural Network Society

Showing 191 to 200 of 2842 articles

CPJN: News recommendation with a content and popularity joint network.

Neural networks : the official journal of the International Neural Network Society Jan 17, 2025
Users may click on a news because they are interested in its content or because the news contains important information and is very popular. Modeling these two aspects is crucial for accurate news recommendation. Most existing studies focused on capt...
Humans Neural Networks, Computer
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DGMSCL: A dynamic graph mixed supervised contrastive learning approach for class imbalanced multivariate time series classification.

Neural networks : the official journal of the International Neural Network Society Jan 17, 2025
In the Imbalanced Multivariate Time Series Classification (ImMTSC) task, minority-class instances typically correspond to critical events, such as system faults in power grids or abnormal health occurrences in medical monitoring. Despite being rare a...
Humans Neural Networks, Computer Time Factors Supervised Machine Learning Multivariate Analysis
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When low-light meets flares: Towards Synchronous Flare Removal and Brightness Enhancement.

Neural networks : the official journal of the International Neural Network Society Jan 17, 2025
Low-light image enhancement (LLIE) aims to improve the visibility and illumination of low-light images. However, real-world low-light images are usually accompanied with flares caused by light sources, which make it difficult to discern the content o...
Humans Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Light Lighting Image Enhancement Fourier Analysis
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Contrastive independent subspace analysis network for multi-view spatial information extraction.

Neural networks : the official journal of the International Neural Network Society Jan 17, 2025
Multi-view classification integrates features from different views to optimize classification performance. Most of the existing works typically utilize semantic information to achieve view fusion but neglect the spatial information of data itself, wh...
Humans Neural Networks, Computer Algorithms Pattern Recognition, Automated
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Out-of-Distribution Detection via outlier exposure in federated learning.

Neural networks : the official journal of the International Neural Network Society Jan 17, 2025
Among various out-of-distribution (OOD) detection methods in neural networks, outlier exposure (OE) using auxiliary data has shown to achieve practical performance. However, existing OE methods are typically assumed to run in a centralized manner, an...
Humans Neural Networks, Computer Machine Learning Algorithms Federated Learning
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An efficient framework based on local multi-representatives and noise-robust synthetic example generation for self-labeled semi-supervised classification.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2025
While self-labeled methods can exploit unlabeled and labeled instances to train classifiers, they are also restricted by the labeled instance number and distribution. SEG-SSC, k-means-SSC, LC-SSC, and LCSEG-SSC are sophisticated solutions for overcom...
Humans Neural Networks, Computer Algorithms Cluster Analysis Supervised Machine Learning Pattern Recognition, Automated
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Simplified self-supervised learning for hybrid propagation graph-based recommendation.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2025
Recent progress in Graph Convolutional Networks (GCNs) has facilitated their extensive application in recommendation, yielding notable performance gains. Nevertheless, existing GCN-based recommendation approaches are confronted with several challenge...
Humans Neural Networks, Computer Algorithms Supervised Machine Learning
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Physics-informed Neural Implicit Flow neural network for parametric PDEs.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2025
The Physics-informed Neural Network (PINN) has been a popular method for solving partial differential equations (PDEs) due to its flexibility. However, PINN still faces challenges in characterizing spatio-temporal correlations when solving parametric...
Humans Neural Networks, Computer Algorithms Nonlinear Dynamics Physics
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GAN-based data reconstruction attacks in split learning.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2025
Due to the distinctive distributed privacy-preserving architecture, split learning has found widespread application in scenarios where computational resources on the client side are limited. Unlike clients in federated learning retaining the whole mo...
Humans Neural Networks, Computer Machine Learning Algorithms Computer Security
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DVPT: Dynamic Visual Prompt Tuning of large pre-trained models for medical image analysis.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2025
Pre-training and fine-tuning have become popular due to the rich representations embedded in large pre-trained models, which can be leveraged for downstream medical tasks. However, existing methods typically either fine-tune all parameters or only ta...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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