Colin Bellinger

On the combined effect of class imbalance and concept complexity in deep learning

2021 · 2021 IEEE International Conference on Big Data (Big Data)

Structural concept complexity, class overlap, and data scarcity are some of the most important factors influencing the performance of classifiers under class imbalance conditions. When these effects were uncovered in the early 2000s, understandably, the …

Performance estimation bias in class imbalance with minority subconcepts

2023 · NPARC

Learning classifiers from imbalanced data is known to be a challenging and important problem in machine learning. As a results, the topic has been studied from a wide variety of angles. This includes the choice …