The widespread application of electronic skin (e-skin) in human-machine interaction necessitates intelligent and information-rich systems. However, the rapid and efficient deployment of e-skin for high-precision multisensor fusion remains a critical ...
Schizophrenia (SZ) and Bipolar disorder (BD) share genetic and cerebral abnormalities, supporting an expanded continuum hypothesis. In this paper, we aim to better characterize differences and commonalities of gray and white matter features between S...
Neural networks : the official journal of the International Neural Network Society
Jun 21, 2025
Deep Reinforcement Learning (DRL) has made significant strides in addressing various sequential decision-making problems, particularly in domains such as game simulations and robotic control. However, substantial challenges arise when DRL is applied ...
Neural networks : the official journal of the International Neural Network Society
Jun 21, 2025
Domain generalization is proposed as an approach capable of solving the domain shift challenge, which aims at generalizing knowledge learned from multiple source domains with different distributions to the target domain that is invisible during the t...
Neural networks : the official journal of the International Neural Network Society
Jun 21, 2025
Heterogeneous Graph Neural Networks (HGNNs) are a powerful tool for modeling data with diverse node and edge types, found in applications like social networks, recommendation systems, and knowledge graphs, including tasks such as node classification,...
Neural networks : the official journal of the International Neural Network Society
Jun 21, 2025
Spiking Neural Networks (SNNs) are the new third generation of bio-mimetic neural networks suitable for large-scale parallel computation due to its advantages of low power consumption and low latency. However, most of the training algorithms and netw...
Neural networks : the official journal of the International Neural Network Society
Jun 21, 2025
Interactive systems are omnipresent across various domains, ranging from dynamic systems in physics to intricate societal dynamics. Relational inference aims to uncover implicit interactions between components based on observed system trajectories. E...
Neural networks : the official journal of the International Neural Network Society
Jun 21, 2025
With the increasing amount of multimodal data on the Internet, cross-modal retrieval has gradually become a hot research topic and has achieved significant progress, especially since graph convolutional networks were introduced. Most methods based on...
Neural networks : the official journal of the International Neural Network Society
Jun 21, 2025
Pre-trained language models (PLMs) have shown significant success in various downstream tasks by providing initial parameters for task-specific fine-tuning. An inherent challenge of this approach is that adapting solely to downstream tasks may lead t...
Neural networks : the official journal of the International Neural Network Society
Jun 21, 2025
Discriminative Correlation Filters (DCF) have emerged as a popular and effective approach in object tracking. With promising performance and efficiency, DCF-based trackers achieved impressive attention and reliable tracking results in several challen...
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