Georgiy Farina

Beyond full fine-tuning: towards enhanced generalizability in downstream ECG foundation model adaptation

Abstract Foundation models (FMs) are large-scale models pretrained on extensive datasets to learn general representations that can be adapted to multiple tasks through fine-tuning. FMs are gaining traction in the electrocardiogram (ECG) analysis field, also thanks to their abilit...