AIMC Topic: Neural Networks, Computer

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Self-attention fusion and adaptive continual updating for multimodal federated learning with heterogeneous data.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Federated learning (FL) enables collaborative model training without direct data sharing, facilitating knowledge exchange while ensuring data privacy. Multimodal federated learning (MFL) is particularly advantageous for decentralized multimodal data,...
Algorithms Neural Networks, Computer Attention Machine Learning Humans Federated Learning
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Enhancing few-shot image classification through learnable multi-scale embedding and attention mechanisms.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
In the context of few-shot classification, the goal is to train a classifier using a limited number of samples while maintaining satisfactory performance. However, traditional metric-based methods exhibit certain limitations in achieving this objecti...
Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Machine Learning Humans Attention Pattern Recognition, Automated
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Rethinking exploration-exploitation trade-off in reinforcement learning via cognitive consistency.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
The exploration-exploitation dilemma is one of the fundamental challenges in deep reinforcement learning (RL). Agents must strike a trade-off between making decisions based on current beliefs or gathering more information. Prior work mostly prefers d...
Reward Reinforcement, Psychology Humans Cognition Deep Learning Neural Networks, Computer Decision Making
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Task-augmented cross-view imputation network for partial multi-view incomplete multi-label classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
In real-world scenarios, multi-view multi-label learning often encounters the challenge of incomplete training data due to limitations in data collection and unreliable annotation processes. The absence of multi-view features impairs the comprehensiv...
Humans Neural Networks, Computer Algorithms
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Attribute-guided feature fusion network with knowledge-inspired attention mechanism for multi-source remote sensing classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Land use and land cover (LULC) classification is a popular research area in remote sensing. The information of single-modal data is insufficient for accurate classification, especially in complex scenes, while the complementarity of multi-modal data ...
Attention Algorithms Remote Sensing Technology Neural Networks, Computer
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Self-training EEG discrimination model with weakly supervised sample construction: An age-based perspective on ASD evaluation.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Deep learning for Electroencephalography (EEG) has become dominant in the tasks of discrimination and evaluation of brain disorders. However, despite its significant successes, this approach has long been facing challenges due to the limited availabi...
Supervised Machine Learning Adolescent Child Age Factors Electroencephalography Male Deep Learning Female Humans Neural Networks, Computer Autism Spectrum Disorder
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Neural networks trained by weight permutation are universal approximators.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
The universal approximation property is fundamental to the success of neural networks, and has traditionally been achieved by training networks without any constraints on their parameters. However, recent experimental research proposed a novel permut...
Neural Networks, Computer Algorithms Humans
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Improving transferability of adversarial examples via statistical attribution-based attacks.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Adversarial attacks are significant in uncovering vulnerabilities and assessing the robustness of deep neural networks (DNNs), offering profound insights into their internal mechanisms. Feature-level attacks, a potent approach, craft adversarial exam...
Algorithms Deep Learning Humans Neural Networks, Computer Computer Security
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Probabilistic memory auto-encoding network for abnormal behavior detection in surveillance video.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Abnormal behavior detection in surveillance video, as one of the essential functions in the intelligent surveillance system, plays a vital role in anti-terrorism, maintaining stability, and ensuring social security. Aiming at the problem of extremely...
Memory Algorithms Models, Statistical Probability Video Recording Humans Neural Networks, Computer
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SHFormer: Dynamic spectral filtering convolutional neural network and high-pass kernel generation transformer for adaptive MRI reconstruction.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Attention Mechanism (AM) selectively focuses on essential information for imaging tasks and captures relationships between regions from distant pixel neighborhoods to compute feature representations. Accelerated magnetic resonance image (MRI) reconst...
Neural Networks, Computer Algorithms Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Convolutional Neural Networks
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