Neural networks : the official journal of the International Neural Network Society
Feb 19, 2025
Banding artifacts in images stem from limitations in color bit depth, image compression, or over-editing, significantly degrades image quality, especially in regions with smooth gradients. Image debanding is about eliminating these artifacts while pr...
Neural networks : the official journal of the International Neural Network Society
Feb 19, 2025
Multivariate time series imputation using graph neural networks (GNNs) has gained significant attention, where the variables and their correlations are depicted as the graph nodes and edges, offering a structured way to understand the intricacies of ...
Neural networks : the official journal of the International Neural Network Society
Feb 19, 2025
Deep learning models are often vulnerable to adversarial attacks in both digital and physical environments. Particularly challenging are physical attacks that involve subtle, unobtrusive modifications to objects, such as patch-sticking or light-shoot...
Neural networks : the official journal of the International Neural Network Society
Feb 19, 2025
Numerous Transformer-based trackers have emerged due to the powerful global modeling capabilities of the Transformer. Nevertheless, the Transformer is a low-pass filter with insufficient capacity to extract high-frequency features of the target and t...
Neural networks : the official journal of the International Neural Network Society
Feb 19, 2025
Accurate identification of molecular interactions is crucial for biological network analysis, which can provide valuable insights into fundamental regulatory mechanisms. Despite considerable progress driven by computational advancements, existing met...
Neural networks : the official journal of the International Neural Network Society
Feb 19, 2025
Electricity is generated through various resources and then flows between regions via a complex system (grid). Imbalances in electricity generation can lead to the waste of renewable energy. As renewable energy is becoming a larger part of the grid, ...
Neural networks : the official journal of the International Neural Network Society
Feb 18, 2025
Emotion recognition plays a key role in the field of human-computer interaction. Classifying and predicting human emotions using electroencephalogram (EEG) signals has consistently been a challenging research area. Recently, with the increasing appli...
Neural networks : the official journal of the International Neural Network Society
Feb 17, 2025
The task of named entity typing (NET) on social platforms is significant as it involves identifying the various types of named entities within unstructured text. The existing methods for NET only utilize the text modality to classify the types of nam...
Neural networks : the official journal of the International Neural Network Society
Feb 15, 2025
This paper proposes an explainable abstraction-based verification method that prioritizes user interaction and enhances interpretability. By partitioning the system's state space using a data-driven process, we can abstract the dynamics into words co...
Neural networks : the official journal of the International Neural Network Society
Feb 15, 2025
In recent years, deep correlation filters have demonstrated outstanding performance in robust object tracking. Nevertheless, the correlation filters encounter challenges in managing huge occlusion, target deviation, and background clutter due to the ...