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pro vyhledávání: '"Hinel, Anton"'
Synthetic data generation has been proven successful in improving model performance and robustness in the context of scarce or low-quality data. Using the data valuation framework to statistically identify beneficial and detrimental observations, we
Externí odkaz:
http://arxiv.org/abs/2410.00759
Data preprocessing is a crucial part of any machine learning pipeline, and it can have a significant impact on both performance and training efficiency. This is especially evident when using deep neural networks for time series prediction and classif
Externí odkaz:
http://arxiv.org/abs/2310.14720