Radha Chitta

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 11

Top Topics

Diagnostic Tests

Medical Diagnosis

Question Answering

Prediction Accuracy

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Adam Roegiest, Radha Chitta, Jonathan Donnelly, Maya Lash, Alexandra Vtyurina, François Longtin
A Search for Prompts: Generating Structured Answers from Contracts. CoRR (2023)
Radha Chitta, Alexander K. Hudek
A Reliable and Accurate Multiple Choice Question Answering System for Due Diligence. ICAIL (2019)
Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao
Incorporating medical code descriptions for diagnosis prediction in healthcare. BMC Medical Informatics Decis. Mak. (6) (2019)
Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao
A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions. BIBM (2018)
Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao
KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare. CIKM (2018)
Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, Jiebo Luo
Deep Multimodal Representation Learning from Temporal Data. CoRR (2017)
Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks. KDD (2017)
Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao
Long-Term Memory Networks for Question Answering. SML@IJCAI (2017)
Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao
Long-Term Memory Networks for Question Answering. CoRR (2017)
Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks. CoRR (2017)
Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, Jiebo Luo
Deep Multimodal Representation Learning from Temporal Data. CVPR (2017)
Radha Chitta, Rong Jin, Anil K. Jain
Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling. ICDM Workshops (2015)
Radha Chitta, Anil K. Jain, Rong Jin
Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters. PIKM@CIKM (2015)
Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain
Scalable Kernel Clustering: Approximate Kernel k-means. CoRR (2014)
Radha Chitta, Rong Jin, Anil K. Jain
Efficient Kernel Clustering Using Random Fourier Features. ICDM (2012)
Timothy C. Havens, Radha Chitta, Anil K. Jain, Rong Jin
Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering. FUZZ-IEEE (2011)
Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain
Approximate kernel k-means: solution to large scale kernel clustering. KDD (2011)
Radha Chitta, M. Narasimha Murty
Two-level k-means clustering algorithm for k-tau relationship establishment and linear-time classification. Pattern Recognit. 43 (3) (2010)