Self-paced Ensemble for Highly Imbalanced Massive Data Classification
ICDE, pp. 841-852, 2020.
Many real-world applications reveal difficulties in learning classifiers from imbalanced data. The rising big data era has been witnessing more classification tasks with large-scale but extremely imbalance and low-quality datasets. Most of existing learning methods suffer from poor performance or low computation efficiency under such a sc...More