Teja Kanchinadam

According to our database, Teja Kanchinadam authored at least 8 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Predicting Clinical Events via Graph Neural Networks.

Teja Kanchinadam, Shaheen Gauher

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

A Simple yet Brisk and Efficient Active Learning Platform for Text Classification.

Teja Kanchinadam, Qian You, Keith Westpfahl, James Kim, Siva Gunda, Sebastian Seith, Glenn Fung

CoRR, 2021

Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center.

Teja Kanchinadam, Zihang Meng, Joseph Bockhorst, Vikas Singh, Glenn Fung

CoRR, 2021

2020

Designing and deploying insurance recommender systems using machine learning.

Maleeha Qazi, Kaya Tollas, Teja Kanchinadam, Joseph Bockhorst, Glenn Fung

WIREs Data Mining Knowl. Discov., 2020

Rationale-based Human-in-the-Loop via Supervised Attention.

Teja Kanchinadam, Keith Westpfahl, Qian You, Glenn Fung

Proceedings of the 1st Workshop on Data Science with Human in the Loop, 2020

2019

Task-Optimized Word Embeddings for Text Classification Representations.

Sukrat Gupta, Teja Kanchinadam, Devin Conathan, Glenn Fung

Frontiers Appl. Math. Stat., 2019

Discovering Temporal Patterns from Insurance Interaction Data.

Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, Neeraj Arora

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Using Discriminative Graphical Models for Insurance Recommender Systems.

Teja Kanchinadam, Maleeha Qazi, Joseph Bockhorst, Mary Y. Morell, Katie J. Meissner, Glenn Fung

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018