Radha Chitta

According to our database1, Radha Chitta authored at least 16 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2019
A Reliable and Accurate Multiple Choice Question Answering System for Due Diligence.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 2019

2018
KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Deep Multimodal Representation Learning from Temporal Data.
CoRR, 2017

Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks.
CoRR, 2017

Long-Term Memory Networks for Question Answering.
CoRR, 2017

Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Deep Multimodal Representation Learning from Temporal Data.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015
Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling.
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.
Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, 2015

2014
Scalable Kernel Clustering: Approximate Kernel k-means.
CoRR, 2014

2012
Efficient Kernel Clustering Using Random Fourier Features.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Approximate kernel k-means: solution to large scale kernel clustering.
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.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
Two-level k-means clustering algorithm for k-tau relationship establishment and linear-time classification.
Pattern Recognition, 2010

2009
Pattern Synthesis in SVM Based Classifier.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009


  Loading...