Mohamed Rabie

Data replay methods can recover up to 88% of performance in task-incremental radar waveform classification, with synergistic combinations of replay mechanisms boosting accuracy by over 5%.

Quantifying epistemic uncertainty with evidence theory enables a lifelong learning classifier to dramatically improve recall in low-SNR radar pulse classification by identifying and rejecting unreliable predictions.