In marine environments, the sources of organophosphate esters (OPEs), particularly emerging OPEs (eOPEs) remain primarily unclear and present significant challenges for accurate source tracing. Here, we developed an unsupervised machine learning fram...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Anomaly detection in intelligent surveillance system is an important and challenging task, which commonly learns a model describing normal patterns via frame reconstruction or prediction and assumes that anomalies deviate form the learned normal mode...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Learning tailored target representations for tracking is a promising direction in visual object tracking. Most state-of-the-art methods utilize autoencoders to generate representations by reconstructing the target's appearance. However, these reconst...
Computer methods and programs in biomedicine
Sep 1, 2025
BACKGROUND AND OBJECTIVE: Despite the profound advancements that deep learning models have achieved across a multitude of domains, their propensity to learn spurious correlations significantly impedes their applicability to tasks necessitating causal...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Given the audio-visual clip of the speaker, facial reaction generation aims to predict the listener's facial reactions. The challenge lies in capturing the relevance between video and audio while balancing appropriateness, realism, and diversity. Whi...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Real-world large-scale data often exhibit a long-tailed distribution, making a classifier difficult to generalize well on tail categories. A straightforward and effective approach to tackling this issue is reweighting. Traditionally, the weight of a ...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Unsupervised MR-CT synthesis presents a significant opportunity to reduce radiation exposure from CT scans and lower costs by eliminating the need for both MR and CT imaging. However, many existing unsupervised methods face limitations in capturing d...
International journal of legal medicine
Sep 1, 2025
In forensic practice, the estimation of postmortem interval has been a persistent challenge. Recently, there has been an increasing utilization of metabolomics techniques combined with machine learning methods for postmortem interval estimation. When...
IEEE transactions on pattern analysis and machine intelligence
Sep 1, 2025
Eye-tracking is a reliable method for quantifying visual information processing and holds significant potential for group recognition, such as identifying autism spectrum disorder (ASD). However, eye-tracking research typically faces the heterogeneit...
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