Radha Chitta

According to our database, Radha Chitta authored at least 17 papers between 2009 and 2024.

Collaborative distances:

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

2024

Answering Questions in Stages: Prompt Chaining for Contract QA.

Adam Roegiest, Radha Chitta

CoRR, 2024

2023

A Search for Prompts: Generating Structured Answers from Contracts.

Adam Roegiest, Radha Chitta, Jonathan Donnelly, Maya Lash, Alexandra Vtyurina, François Longtin

CoRR, 2023

2019

Incorporating medical code descriptions for diagnosis prediction in healthcare.

Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao

BMC Medical Informatics Decis. Mak., 2019

A Reliable and Accurate Multiple Choice Question Answering System for Due Diligence.

Radha Chitta, Alexander K. Hudek

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 2019

2018

KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare.

Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions.

Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks.

Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Long-Term Memory Networks for Question Answering.

Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao

Proceedings of the IJCAI Workshop on Semantic Machine Learning (SML 2017) co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Deep Multimodal Representation Learning from Temporal Data.

Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, Jiebo Luo

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling.

Radha Chitta, Rong Jin, Anil K. Jain

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters.

Radha Chitta, Anil K. Jain, Rong Jin

Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, 2015

2014

Scalable Kernel Clustering: Approximate Kernel k-means.

Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain

CoRR, 2014

2012

Efficient Kernel Clustering Using Random Fourier Features.

Radha Chitta, Rong Jin, Anil K. Jain

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

Approximate kernel k-means: solution to large scale kernel clustering.

Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering.

Timothy C. Havens, Radha Chitta, Anil K. Jain, Rong Jin

Proceedings of the FUZZ-IEEE 2011, 2011

2010

Two-level k-means clustering algorithm for k-tau relationship establishment and linear-time classification.

Radha Chitta, M. Narasimha Murty

Pattern Recognit., 2010

2009

Pattern Synthesis in SVM Based Classifier.

Radha Chitta

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009