GBABS samples only approximate borderline points detected via non-overlapping granular balls, reporting better classifier accuracy and noise robustness than GB-based and standard sampling baselines.
Distilling effective supervision from severe label noise,
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Approximate Borderline Sampling using Granular-Ball for Classification Tasks
GBABS samples only approximate borderline points detected via non-overlapping granular balls, reporting better classifier accuracy and noise robustness than GB-based and standard sampling baselines.