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Smriti Rajan Ramakrishnan |
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Though this be madness, yet there is method in 't-Hamlet |
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Knowledge discovery (from) and efficient organization of large datasets for search and retrieval. This spans areas of relational databases (indexing) and machine learning. Typical applications lie in text collections (hypertext, documents) and bioinformatics.
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Specific problems I have worked on:
Other topics I'm interested in:
Reading Groups:
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Journal
Conference
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On Optimizing Distance-Based
Similarity Search for Biological Databases
Rui Mao, Weijia Xu, Smriti Ramakrishnan, Glen Nuckolls, Daniel P.Miranker. In Proc 2005 IEEE Computational Systems Bioinformatics Conference (CSB 2005), 351-361, 2005
Workshop (proceedings)
- Anytime K-Nearest Neighbor Search for Database Applications
Weijia Xu, Daniel P. Miranker, Rui Mao, Smriti R. Ramakrishnan, 1st International Workshop on Similarity Search and Applications (SISAP, affiliated with ICDE 2008), April 11-12, 2008, Cancun, Mexico.
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MoBIoS Index: Support Distance-Based Queries in Bioinformatics
Rui Mao, Weijia Xu, Willard S. Willard, Smriti R. Ramakrishnan and Daniel P. Miranker. In Proc 2006 Workshop on Intelligent Computing & Bioinformatics of the Chinese Academy of Sciences (WICB2006), 147-152, 2006.
Workshop (talks)
- An integrative scoring scheme for protein identification in tandem mass spectrometry experiments
Smriti R. Ramakrishnan, Christine Vogel, John T. Prince, Zhihua Li, Edward M. Marcotte, and Daniel P. Miranker, Workshop on Probabilistic Methods for Active Learning and Data Integration in Computational Biology (PMCB 2007, affiliated with ISMB 2007), July 26 2007, Vienna, Austria.
M.S. in Computer Science, The University of Texas at Austin, December 2005
B.E. in Computer Science and Engineering, Visvesvaraiah Technological University, India, June 2002
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| Postal |
The University of Texas at Austin
Department of Computer Sciences
Taylor Hall 2.124
1 University Station C0500
Austin, TX 78712-1188
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ACES 5SEo5C (512) 232-7491
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Last Updated: 18 March 2007
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