Teja Kanchinadam

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 8

Top Topics

Text Classification

Learning Platform

Customer Satisfaction

Top Venues

WIREs Data Mining Knowl. Discov.

Publications

Teja Kanchinadam, Shaheen Gauher
Predicting Clinical Events via Graph Neural Networks. ICMLA (2022)
Teja Kanchinadam, Qian You, Keith Westpfahl, James Kim, Siva Gunda, Sebastian Seith, Glenn Fung
A Simple yet Brisk and Efficient Active Learning Platform for Text Classification. CoRR (2021)
Teja Kanchinadam, Zihang Meng, Joseph Bockhorst, Vikas Singh, Glenn Fung
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center. CoRR (2021)
Teja Kanchinadam, Keith Westpfahl, Qian You, Glenn Fung
Rationale-based Human-in-the-Loop via Supervised Attention. DaSH@KDD (2020)
Maleeha Qazi, Kaya Tollas, Teja Kanchinadam, Joseph Bockhorst, Glenn Fung
Designing and deploying insurance recommender systems using machine learning. WIREs Data Mining Knowl. Discov. 10 (4) (2020)
Sukrat Gupta, Teja Kanchinadam, Devin Conathan, Glenn Fung
Task-Optimized Word Embeddings for Text Classification Representations. Frontiers Appl. Math. Stat. 5 (2019)
Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, Neeraj Arora
Discovering Temporal Patterns from Insurance Interaction Data. AAAI (2019)
Teja Kanchinadam, Maleeha Qazi, Joseph Bockhorst, Mary Y. Morell, Katie J. Meissner, Glenn Fung
Using Discriminative Graphical Models for Insurance Recommender Systems. ICMLA (2018)