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Found 3 papers, 1 papers with code
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis
Time series data analysis is a critical component in various domains such as finance, healthcare, and meteorology.
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
Diffusion models have emerged as a robust framework for various generative tasks, such as image and audio synthesis, and have also demonstrated a remarkable ability to generate mixed-type tabular data comprising both continuous and discrete variables.
Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data
In this study, we systematically review the mix-based augmentations, including mixup, cutmix, and manifold mixup, on six physiological datasets, evaluating their performance across different sensory data and classification tasks.
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