5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
A Study of Data Augmentation Techniques to Overcome Data Scarcity in Wound Classification using Deep Learning
Harini Narayanan, Sindhu Ghanta
Chronic wounds are a significant burden on individuals and the healthcare system, affecting millions of people and incurring high costs. Wound classification using deep learning te…
cs.LG2019
MPP: Model Performance Predictor
Sindhu Ghanta, Sriram Subramanian, Lior Khermosh +5
Operations is a key challenge in the domain of machine learning pipeline deployments involving monitoring and management of real-time prediction quality. Typically, metrics like ac…
cs.LG2019★ 5 cited
ML Health: Fitness Tracking for Production Models
Sindhu Ghanta, Sriram Subramanian, Lior Khermosh +5
Deployment of machine learning (ML) algorithms in production for extended periods of time has uncovered new challenges such as monitoring and management of real-time prediction qua…