Radha Chitta

20 papers A* 4A 1B 1C 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Answering Questions in Stages: Prompt Chaining for Contract QA.
CoRR
Adam Roegiest, Radha Chitta
2023 J jnl
A Search for Prompts: Generating Structured Answers from Contracts.
CoRR
Adam Roegiest, Radha Chitta, Jonathan Donnelly, Maya Lash, Alexandra Vtyurina, François Longtin
2019 C conf
A Reliable and Accurate Multiple Choice Question Answering System for Due Diligence.
ICAIL
Radha Chitta, Alexander K. Hudek
2019 J jnl
Incorporating medical code descriptions for diagnosis prediction in healthcare.
BMC Medical Informatics Decis. Mak.
Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao
2018 — conf
A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions.
BIBM
Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao
2018 A conf
KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare.
CIKM
Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao
2017 A* conf
Deep Multimodal Representation Learning from Temporal Data.
CVPR
Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, Jiebo Luo
2017 J jnl
Deep Multimodal Representation Learning from Temporal Data.
CoRR
Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, Jiebo Luo
2017 A* conf
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks.
KDD
Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao
2017 J jnl
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks.
CoRR
Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao
2017 — conf
Long-Term Memory Networks for Question Answering.
SML@IJCAI
Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao
2017 J jnl
Long-Term Memory Networks for Question Answering.
CoRR
Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao
2015 — conf
Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters.
PIKM@CIKM
Radha Chitta, Anil K. Jain, Rong Jin
2015 — conf
Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling.
ICDM Workshops
Radha Chitta, Rong Jin, Anil K. Jain
2014 J jnl
Scalable Kernel Clustering: Approximate Kernel k-means.
CoRR
Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain
2012 A* conf
Efficient Kernel Clustering Using Random Fourier Features.
ICDM
Radha Chitta, Rong Jin, Anil K. Jain
2011 A* conf
Approximate kernel k-means: solution to large scale kernel clustering.
KDD
Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain
2011 B conf
Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering.
FUZZ-IEEE
Timothy C. Havens, Radha Chitta, Anil K. Jain, Rong Jin
2010 J jnl
Two-level k-means clustering algorithm for k-tau relationship establishment and linear-time classification.
Pattern Recognit.
Radha Chitta, M. Narasimha Murty
2009 — ch.
Pattern Synthesis in SVM Based Classifier.
Encyclopedia of Data Warehousing and Mining
Radha Chitta