3 papers
cs.CV2026
Evaluating Few-Shot Pill Recognition Under Visual Domain Shift
W. I. Chu, G. Tarroni, L. Li
Adverse drug events are a significant source of preventable harm, which has led to the development of automated pill recognition systems to enhance medication safety. Real-world de…
cs.CV2026
A dataset of medication images with instance segmentation masks for preventing adverse drug events
W. I. Chu, S. Hirani, G. Tarroni +1
Medication errors and adverse drug events (ADEs) pose significant risks to patient safety, often arising from difficulties in reliably identifying pharmaceuticals in real-world set…
cs.LG2025
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
Federated learning is a decentralized collaborative training paradigm preserving stakeholders' data ownership while improving performance and generalization. However, statistical h…