Radha Chitta
Radha Chitta
Zuva ( https://zuva.ai/ )
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Geciteerd door
Geciteerd door
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks
F Ma, R Chitta, J Zhou, Q You, T Sun, J Gao
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2017
Approximate kernel k-means: Solution to large scale kernel clustering
R Chitta, R Jin, TC Havens, AK Jain
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
Kame: Knowledge-based attention model for diagnosis prediction in healthcare
F Ma, Q You, H Xiao, R Chitta, J Zhou, J Gao
Proceedings of the 27th ACM International Conference on Information and …, 2018
Quanzeng You, Tong Sun, and Jing Gao. 2017. Dipole: Diagnosis prediction in healthcare via attention-based bidirectional recurrent neural networks
F Ma, R Chitta, J Zhou
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 1903
Efficient kernel clustering using random fourier features
R Chitta, R Jin, AK Jain
2012 IEEE 12th International Conference on Data Mining, 161-170, 2012
Deep Multimodal Representation Learning From Temporal Data
X Yang, P Ramesh, R Chitta, S Madhvanath, EA Bernal, J Luo
IEEE Conference on Computer Vision and Pattern Recognition, 2017
Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering
TC Havens, R Chitta, AK Jain, R Jin
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 463-470, 2011
Two-level k-means clustering algorithm for k–τ relationship establishment and linear-time classification
R Chitta, MN Murty
Pattern Recognition 43 (3), 796-804, 2010
A general framework for diagnosis prediction via incorporating medical code descriptions
F Ma, Y Wang, H Xiao, Y Yuan, R Chitta, J Zhou, J Gao
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
Scalable kernel clustering: Approximate kernel k-means
R Chitta, R Jin, TC Havens, AK Jain
arXiv preprint arXiv:1402.3849, 2014
Kernel-based clustering of big data
R Chitta
Michigan State University, 2015
Semi-supervised clustering
A Jain, R Jin, R Chitta
Handbook of Cluster Analysis, 1-35, 2014
Long-term memory networks for question answering
F Ma, R Chitta, S Kataria, J Zhou, P Ramesh, T Sun, J Gao
arXiv preprint arXiv:1707.01961, 2017
Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters
R Chitta, AK Jain, R Jin
PhD Workshop at CIKM, 2015
Stream Clustering: Efficient Kernel-based Approximation using Importance Sampling
R Chitta, R Jin, AK Jain
ICDM Workshop on Data Science and Big Data Analytics, 2015
Incorporating medical code descriptions for diagnosis prediction in healthcare
F Ma, Y Wang, H Xiao, Y Yuan, R Chitta, J Zhou, J Gao
BMC medical informatics and decision making 19 (6), 1-13, 2019
A Reliable and Accurate Multiple Choice Question Answering System for Due Diligence
R Chitta, AK Hudek
International Conference on Artificial Intelligence and Law, 2019
Clustering big data
A Jain, R Chitta, R Jin
Unpublished lecture notes, Department of Computer Science, Michigan State …, 2012
Long-term memory networks for knowledge extraction from text and publications
F Ma, R Chitta, J Zhou, PS Ramesh, T Sun, SS Kataria
US Patent 10,963,789, 2021
System and method for applying artificial intelligence techniques to respond to multiple choice questions
R Chitta, AK Hudek
US Patent App. 16/182,541, 2020
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