most citedExtended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024

Targeted synthetic data generation for tabular data via hardness characterization

Tommaso Ferracci, Leonie Tabea Goldmann, Anton Hinel +1

Data augmentation via synthetic data generation has been shown to be effective in improving model performance and robustness in the context of scarce or low-quality data. Using the…

cs.LG2023★ 5 cited

Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks

Marcus A. K. September, Francesco Sanna Passino, Leonie Goldmann +1

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…