Showing 2025Show all
2 papers · 1 filter
cs.CL2025
Improving the Performance of Radiology Report De-identification with Large-Scale Training and Benchmarking Against Cloud Vendor Methods
Eva Prakash, Maayane Attias, Pierre Chambon +5
Objective: To enhance automated de-identification of radiology reports by scaling transformer-based models through extensive training datasets and benchmarking performance against…
cs.LG2025
Cost and Reward Infused Metric Elicitation
Chethan Bhateja, Joseph O'Brien, Afnaan Hashmi +1
In machine learning, metric elicitation refers to the selection of performance metrics that best reflect an individual's implicit preferences for a given application. Currently, me…