Work

T‐ VAE : Transformer‐Based Variational AutoEncoder for Perceiving Anomalies in Multivariate Time Series Data

Year: 2025

Type: article

Source: Expert Systems

DOI: 10.1111/exsy.70078

Authors: Chang Li, Yeo Chai Kiat, Jiwu Jing, Chun Long

Institutions: Chinese Academy of Sciences, Computer Network Information Center, University of Chinese Academy of Sciences, Nanyang Technological University

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Youth Innovation Promotion Association of the Chinese Academy of Sciences, National Key Research and Development Program of China

Awards: G2914002501, G3231530416

OpenAlex ID: W4410700969

FWCI: 3.263

Cites: 49

Cited by: 8

Related to: 10