AIMC Topic: Neural Networks, Computer

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Cortical-subcortical neural networks for motor learning and storing sequence memory.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Motor sequence learning relies on the synergistic collaboration of multiple brain regions. However, most existing models for motor sequence learning primarily focus on functional-level analyses of sequence memory mechanisms, providing limited neuroph...
Memory Models, Neurological Memory, Short-Term Thalamus Neurons Neural Pathways Cerebral Cortex Nerve Net Learning Prefrontal Cortex Humans Neural Networks, Computer
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Explicit estimation of magnitude and phase spectra in parallel for high-quality speech enhancement.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Phase information has a significant impact on speech perceptual quality and intelligibility. However, existing speech enhancement methods encounter limitations in explicit phase estimation due to the non-structural nature and wrapping characteristics...
Humans Speech Speech Intelligibility Neural Networks, Computer Algorithms Speech Perception
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Pruning the ensemble of convolutional neural networks using second-order cone programming.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Ensemble techniques are frequently encountered in machine learning and engineering problems since the method combines different models and produces an optimal predictive solution. The ensemble concept can be adapted to deep learning models to provide...
Deep Learning Convolutional Neural Networks Neural Networks, Computer Machine Learning Algorithms
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Kernel Bayesian tensor ring decomposition for multiway data recovery.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Tensor ring (TR) decomposition has emerged as the prevailing method for tensor completion. Earlier approaches have situated TR decomposition within a probabilistic framework, yielding satisfactory outcomes. However, these methods ignore side informat...
Bayes Theorem Neural Networks, Computer Algorithms Humans
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Real-time and accurate stereo matching via tri-fusion volume for stereo vision.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
In the field of real-time stereo matching, a concise and informative cost volume is crucial for achieving high efficiency and accuracy. To this end, in this paper, we propose the Tri-Fusion Volume (TFV) to effectively fuse both texture details and si...
Depth Perception Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Pattern Recognition, Automated Humans Neural Networks, Computer Algorithms
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The informativeness of the gradient revisited.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
In the past decade gradient-based deep learning has revolutionized several applications. However, this rapid advancement has highlighted the need for a deeper theoretical understanding of its limitations. Research has shown that, in many practical le...
Entropy Algorithms Deep Learning Humans Neural Networks, Computer
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Model-free reinforcement learning control with zero-min barrier functions for constrained systems.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
The primary focus of this research is to develop an adaptive output feedback controller designed to minimize a cost-to-go function subject to constraints on input, output, and tracking error for a class of unknown non-affine discrete-time systems. Th...
Algorithms Feedback Fuzzy Logic Reinforcement, Psychology Neural Networks, Computer Machine Learning Humans
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Wp-VTON: A wrinkle-preserving virtual try-on network via clothing texture book.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Virtual try-on technology seeks to seamlessly integrate an image of a specified garment onto the target person, generating a synthesized image that realistically depicts the person wearing the clothing. Existing methods based on generative adversaria...
Virtual Reality Image Processing, Computer-Assisted Clothing Humans Neural Networks, Computer
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Learning to solve combinatorial optimization problems with heterophily.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Graph Neural Networks (GNNs) are widely used to address combinatorial optimization problems. However, many popular GNNs struggle to generalize to heterophilic scenarios where adjacent nodes tend to be with different labels or dissimilar features, suc...
Cluster Analysis Machine Learning Algorithms Humans Neural Networks, Computer
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Predicting CircRNA-Disease Associations Based on Heterogeneous Graph Neural Network and Knowledge Graph Attribute Mining Attention.

Interdisciplinary sciences, computational life sciences Sep 1, 2025
The exploration of associations between circular RNAs (circRNAs) and diseases contributes to a deeper understanding of the pathogenesis of diseases. Many computational methods have been proposed for circRNA-disease associations identification. Howeve...
Neural Networks, Computer Algorithms Humans RNA, Circular Computational Biology Graph Neural Networks Data Mining
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