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Neural networks : the official journal of the International Neural Network Society
Jan 20, 2025
Anomaly detection on graph data has garnered significant interest from both the academia and industry. In recent years, fueled by the rapid development of Graph Neural Networks (GNNs), various GNNs-based anomaly detection methods have been proposed a...
Neural networks : the official journal of the International Neural Network Society
Jan 18, 2025
In this paper, we introduce the concept of (ω,c)-asymptotic periodicity within the context of translation-invariant time scales. This concept generalizes various types of function, including asymptotically periodic, asymptotically antiperiodic, asymp...
Neural networks : the official journal of the International Neural Network Society
Jan 18, 2025
Vision-language models are pre-trained by aligning image-text pairs in a common space to deal with open-set visual concepts. Recent works adopt fixed or learnable prompts, i.e., classification weights are synthesized from natural language description...
Neural networks : the official journal of the International Neural Network Society
Jan 18, 2025
Both the single-image exposure correction (SEC) methods and multi-image exposure fusion (MEF) methods aim to obtain a well-exposed image, but from different number of input image(s). Despite their promising performance on the specific SEC or MEF task...
Neural networks : the official journal of the International Neural Network Society
Jan 18, 2025
The discrete cosine transform (DCT) has been widely used in computer vision tasks due to its ability of high compression ratio and high-quality visual presentation. However, conventional DCT is usually affected by the size of transform region and res...
Neural networks : the official journal of the International Neural Network Society
Jan 18, 2025
Session-based recommendation systems (SBRS) are essential for enhancing the customer experience, improving sales and loyalty, and providing the possibility to discover products in dynamic and real-world scenarios without needing user history. Despite...
Neural networks : the official journal of the International Neural Network Society
Jan 17, 2025
We present a novel neural architecture search pipeline designed to enhance search efficiency through optimized data and algorithms. Leveraging dataset distillation techniques, our pipeline condenses large-scale target datasets into more streamlined p...
Neural networks : the official journal of the International Neural Network Society
Jan 17, 2025
In this work, we present the novel mathematical framework of latent dynamics models (LDMs) for reduced order modeling of parameterized nonlinear time-dependent PDEs. Our framework casts this latter task as a nonlinear dimensionality reduction problem...
Neural networks : the official journal of the International Neural Network Society
Jan 17, 2025
Due to data privacy and storage concerns, Source-Free Unsupervised Domain Adaptation (SFUDA) focuses on improving an unlabelled target domain by leveraging a pre-trained source model without access to source data. While existing studies attempt to tr...
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...