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