Aisha Hassan

Adaptive Coreset Selection via Uncertainty-Density for Efficient Spam Detection (Student Abstract)

Efficient spam detection in resource-constrained environments remains challenging due to class imbalance, noisy text, and the computational demands of large Transformer models. We introduce a novel coreset selection framework based on a unified Entropy, Class-Balanced Uncertainty-Density Ranking (CB