Prototype-oriented hypergraph representation learning for anomaly detection in tabular data
S Li, Y Lu, S Jiu, H Huang, G Yang, J Yu - Information Processing & …, 2025 - Elsevier
Anomaly detection in tabular data holds significant importance across various industries
such as manufacturing, healthcare, and finance. However, existing methods are constrained …
such as manufacturing, healthcare, and finance. However, existing methods are constrained …
DSVTN-ASD: Detection of Stereotypical Behaviors in Individuals with Autism Spectrum Disorder using a Dual Self-Supervised Video Transformer Network
Abstract Early detection of Autism Spectrum Disorder (ASD) is essential for improving the
standard of life for those with autism. Traditional diagnostic approaches in hospitals are …
standard of life for those with autism. Traditional diagnostic approaches in hospitals are …
Adversarial compact wrap** classifier learning for open set recognition
L Zhang, M Wan, P Huang, G Yang - Information Sciences, 2024 - Elsevier
Determining the limited and compact class acceptance region has become a key bottleneck
in classifier design since Open Set Recognition (OSR) requires the classifier to successfully …
in classifier design since Open Set Recognition (OSR) requires the classifier to successfully …
DGTAD: decomposition GAN-based transformer for anomaly detection in multivariate time series data
Z Chen, J Yu, Q Tan, S Li, XS Du - Applied Intelligence, 2024 - Springer
The advancement of the computer and information industry has led to the emergence of new
demands for multivariate time series anomaly detection (MTSAD) models, namely, the …
demands for multivariate time series anomaly detection (MTSAD) models, namely, the …
A Survey on Diffusion Models for Anomaly Detection
Diffusion models (DMs) have emerged as a powerful class of generative AI models, showing
remarkable potential in anomaly detection (AD) tasks across various domains, such as …
remarkable potential in anomaly detection (AD) tasks across various domains, such as …
Self-Supervised Augmented Diffusion Model for Anomalous Sound Detection
J Yin, W Zhang, M Zhang, Y Gao - 2024 Asia Pacific Signal and …, 2024 - ieeexplore.ieee.org
Generative models have significantly enhanced the capability of unsupervised anomalous
sound detection (ASD) with their strong data modeling capabilities. However, many existing …
sound detection (ASD) with their strong data modeling capabilities. However, many existing …