1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022
To SMOTE, or not to SMOTE?
Yotam Elor, Hadar Averbuch-Elor
Balancing the data before training a classifier is a popular technique to address the challenges of imbalanced binary classification in tabular data. Balancing is commonly achieved…
cs.LG2021★ 1 cited
Synthesising Multi-Modal Minority Samples for Tabular Data
Sajad Darabi, Yotam Elor
Real-world binary classification tasks are in many cases imbalanced, where the minority class is much smaller than the majority class. This skewness is challenging for machine lear…