Enhanced mixup for improved time series analysis
Time series data analysis is crucial for real-world applications. While deep learning has advanced in this field, it still faces challenges, such as limited or poor-quality data. In areas like computer vision, data augmentation has been widely used and highly effective in addressing similar issues....
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Universitas Ahmad Dahlan
2025-05-01
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Series: | IJAIN (International Journal of Advances in Intelligent Informatics) |
Subjects: | |
Online Access: | https://ijain.org/index.php/IJAIN/article/view/1592 |
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