2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Keeping Experts in the Loop: Expert-Guided Optimization for Clinical Data Classification using Large Language Models
Nader Karayanni, Aya Awwad, Chein-Lien Hsiao +1
Since the emergence of Large Language Models (LLMs), the challenge of effectively leveraging their potential in healthcare has taken center stage. A critical barrier to using LLMs…
cs.CE2024★ 1 cited
Distributed Monitoring for Data Distribution Shifts in Edge-ML Fraud Detection
Nader Karayanni, Robert J. Shahla, Chieh-Lien Hsiao
The digital era has seen a marked increase in financial fraud. edge ML emerged as a promising solution for smartphone payment services fraud detection, enabling the deployment of M…
cs.LG2023★ 2 cited
Monitoring and Adapting ML Models on Mobile Devices
Wei Hao, Zixi Wang, Lauren Hong +5
ML models are increasingly being pushed to mobile devices, for low-latency inference and offline operation. However, once the models are deployed, it is hard for ML operators to tr…