Long-Term, Multivariate Time Series Generation With the Capture of Intervariate Correlations and Variatewise Characteristics

This paper proposes a novel Time Series Generation (TSG) model, the Attended Variate-Conditioned GAN (AVC-GAN), for generating multivariate long-term time series data. Recently, generative approaches to TSG have been explored for applications such as privacy protection, anomaly detection, and time s...

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Bibliographic Details
Main Authors: Kasumi Ohno, Kohei Makino, Makoto Miwa, Yutaka Sasaki
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11086582/
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