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Radha Chitta
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2020 – today
- 2024
- [i6]Adam Roegiest, Radha Chitta:
Answering Questions in Stages: Prompt Chaining for Contract QA. CoRR abs/2410.12840 (2024) - 2023
- [i5]Adam Roegiest, Radha Chitta, Jonathan Donnelly, Maya Lash, Alexandra Vtyurina, François Longtin:
A Search for Prompts: Generating Structured Answers from Contracts. CoRR abs/2310.10141 (2023)
2010 – 2019
- 2019
- [j2]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. 19-S(6): 267 (2019) - [c11]Radha Chitta, Alexander K. Hudek:
A Reliable and Accurate Multiple Choice Question Answering System for Due Diligence. ICAIL 2019: 184-188 - 2018
- [c10]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: 1070-1075 - [c9]Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao:
KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare. CIKM 2018: 743-752 - 2017
- [c8]Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, Jiebo Luo
:
Deep Multimodal Representation Learning from Temporal Data. CVPR 2017: 5066-5074 - [c7]Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao:
Long-Term Memory Networks for Question Answering. SML@IJCAI 2017: 7-14 - [c6]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: 1903-1911 - [i4]Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, Jiebo Luo:
Deep Multimodal Representation Learning from Temporal Data. CoRR abs/1704.03152 (2017) - [i3]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 abs/1706.05764 (2017) - [i2]Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao:
Long-Term Memory Networks for Question Answering. CoRR abs/1707.01961 (2017) - 2015
- [c5]Radha Chitta, Anil K. Jain, Rong Jin:
Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters. PIKM@CIKM 2015: 11-18 - [c4]Radha Chitta, Rong Jin, Anil K. Jain:
Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling. ICDM Workshops 2015: 607-614 - 2014
- [i1]Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain:
Scalable Kernel Clustering: Approximate Kernel k-means. CoRR abs/1402.3849 (2014) - 2012
- [c3]Radha Chitta, Rong Jin, Anil K. Jain:
Efficient Kernel Clustering Using Random Fourier Features. ICDM 2012: 161-170 - 2011
- [c2]Timothy C. Havens
Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering. FUZZ-IEEE 2011: 463-470 - [c1]Radha Chitta, Rong Jin, Timothy C. Havens
Approximate kernel k-means: solution to large scale kernel clustering. KDD 2011: 895-903 - 2010
- [j1]Radha Chitta, M. Narasimha Murty:
Two-level k-means clustering algorithm for k-tau relationship establishment and linear-time classification. Pattern Recognit. 43(3): 796-804 (2010)
2000 – 2009
- 2009
- [r1]Radha Chitta:
Pattern Synthesis in SVM Based Classifier. Encyclopedia of Data Warehousing and Mining 2009: 1517-1523
Coauthor Index
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