338 citations · 365 across the 9 of their papers we have counts for
Showing 2025 · cs.LGShow all
2 papers · 2 filters
cs.LG2025
Critical Challenges and Guidelines in Evaluating Synthetic Tabular Data: A Systematic Review
Nazia Nafis, Inaki Esnaola, Alvaro Martinez-Perez +2
Generating synthetic tabular health data is challenging, and evaluating their quality is equally, if not more, complex. This systematic review highlights the critical importance of…
cs.LG2025
Reducing Class Bias In Data-Balanced Datasets Through Hardness-Based Resampling
Pawel Pukowski, Venet Osmani
Class-bias, that is class-wise performance disparities, is typically attributed to data imbalance and addressed through frequency-based resampling. However, we demonstrate that sub…