1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
A Simple yet Brisk and Efficient Active Learning Platform for Text Classification
Teja Kanchinadam, Qian You, Keith Westpfahl +4
In this work, we propose the use of a fully managed machine learning service, which utilizes active learning to directly build models from unstructured data. With this tool, busine…
cs.LG2021★ 1 cited
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center
Teja Kanchinadam, Zihang Meng, Joseph Bockhorst +2
Customer satisfaction is an important factor in creating and maintaining long-term relationships with customers. Near real-time identification of potentially dissatisfied customers…