Transformer-based classification with data augmentation and nested distillation — performance approaches SOTA at ~1/6 the compute.

Extending the classical PD to capture fear-of-capture among collaborating criminals.

Party-label prediction for parliamentary speech; generalises to secondary parties unseen at training time.

Classical baselines for patient-survival classification over the MIMIC clinical dataset.