9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2021
On the combined effect of class imbalance and concept complexity in deep learning
Kushankur Ghosh, Colin Bellinger, Roberto Corizzo +2
Structural concept complexity, class overlap, and data scarcity are some of the most important factors influencing the performance of classifiers under class imbalance conditions.…
cs.LG2020★ 9 cited
ReMix: Calibrated Resampling for Class Imbalance in Deep learning
Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
Class imbalance is a problem of significant importance in applied deep learning where trained models are exploited for decision support and automated decisions in critical areas su…