2008 |
26 | EE | Yunyao Li,
Rajasekar Krishnamurthy,
Sriram Raghavan,
Shivakumar Vaithyanathan,
H. V. Jagadish:
Regular Expression Learning for Information Extraction.
EMNLP 2008: 21-30 |
25 | EE | Frederick Reiss,
Sriram Raghavan,
Rajasekar Krishnamurthy,
Huaiyu Zhu,
Shivakumar Vaithyanathan:
An Algebraic Approach to Rule-Based Information Extraction.
ICDE 2008: 933-942 |
24 | EE | Rajasekar Krishnamurthy,
Yunyao Li,
Sriram Raghavan,
Frederick Reiss,
Shivakumar Vaithyanathan,
Huaiyu Zhu:
SystemT: a system for declarative information extraction.
SIGMOD Record 37(4): 7-13 (2008) |
2007 |
23 | EE | Douglas Burdick,
AnHai Doan,
Raghu Ramakrishnan,
Shivakumar Vaithyanathan:
OLAP over Imprecise Data with Domain Constraints.
VLDB 2007: 39-50 |
22 | EE | Huaiyu Zhu,
Sriram Raghavan,
Shivakumar Vaithyanathan,
Alexander Löser:
Navigating the intranet with high precision.
WWW 2007: 491-500 |
21 | EE | Douglas Burdick,
Prasad M. Deshpande,
T. S. Jayram,
Raghu Ramakrishnan,
Shivakumar Vaithyanathan:
OLAP over uncertain and imprecise data.
VLDB J. 16(1): 123-144 (2007) |
2006 |
20 | EE | Yunyao Li,
Rajasekar Krishnamurthy,
Shivakumar Vaithyanathan,
H. V. Jagadish:
Getting work done on the web: supporting transactional queries.
SIGIR 2006: 557-564 |
19 | EE | Eser Kandogan,
Rajasekar Krishnamurthy,
Sriram Raghavan,
Shivakumar Vaithyanathan,
Huaiyu Zhu:
Avatar semantic search: a database approach to information retrieval.
SIGMOD Conference 2006: 790-792 |
18 | EE | AnHai Doan,
Raghu Ramakrishnan,
Shivakumar Vaithyanathan:
Managing information extraction: state of the art and research directions.
SIGMOD Conference 2006: 799-800 |
17 | EE | Douglas Burdick,
Prasad M. Deshpande,
T. S. Jayram,
Raghu Ramakrishnan,
Shivakumar Vaithyanathan:
Efficient Allocation Algorithms for OLAP Over Imprecise Data.
VLDB 2006: 391-402 |
16 | EE | T. S. Jayram,
Rajasekar Krishnamurthy,
Sriram Raghavan,
Shivakumar Vaithyanathan,
Huaiyu Zhu:
Avatar Information Extraction System.
IEEE Data Eng. Bull. 29(1): 40-48 (2006) |
2005 |
15 | | David Gondek,
Shivakumar Vaithyanathan,
Ashutosh Garg:
Clustering with Model-level Constraints.
SDM 2005 |
14 | EE | Douglas Burdick,
Prasad Deshpande,
T. S. Jayram,
Raghu Ramakrishnan,
Shivakumar Vaithyanathan:
OLAP Over Uncertain and Imprecise Data.
VLDB 2005: 970-981 |
2004 |
13 | EE | Philip Beineke,
Trevor Hastie,
Shivakumar Vaithyanathan:
The Sentimental Factor: Improving Review Classification Via Human-Provided Information.
ACL 2004: 263-270 |
12 | EE | Ashutosh Garg,
T. S. Jayram,
Shivakumar Vaithyanathan,
Huaiyu Zhu:
Generalized Opinion Pooling.
AMAI 2004 |
2003 |
11 | EE | Huaiyu Zhu,
Shivakumar Vaithyanathan,
Mahesh V. Joshi:
Topic Learning from Few Examples.
PKDD 2003: 483-494 |
2002 |
10 | EE | Bo Pang,
Lillian Lee,
Shivakumar Vaithyanathan:
Thumbs up? Sentiment Classification using Machine Learning Techniques
CoRR cs.CL/0205070: (2002) |
2001 |
9 | EE | Alex Cozzi,
Myron Flickner,
Jianchang Mao,
Shivakumar Vaithyanathan:
A Comparison of Classifiers for Real-Time Eye Detection.
ICANN 2001: 993-999 |
2000 |
8 | | Shivakumar Vaithyanathan,
Byron Dom:
Hierarchical Unsupervised Learning.
ICML 2000: 1039-1046 |
7 | EE | Shivakumar Vaithyanathan,
Jianchang Mao,
Byron Dom:
Hierarchical Bayes for Text Classification.
PRICAI Workshop on Text and Web Mining 2000: 36-43 |
6 | EE | Shivakumar Vaithyanathan,
Byron Dom:
Model-Based Hierarchical Clustering.
UAI 2000: 599-608 |
1999 |
5 | | Shivakumar Vaithyanathan,
Byron Dom:
Model Selection in Unsupervised Learning with Applications To Document Clustering.
ICML 1999: 433-443 |
4 | EE | Shivakumar Vaithyanathan,
Byron Dom:
Generalized Model Selection for Unsupervised Learning in High Dimensions.
NIPS 1999: 970-976 |
3 | | Shivakumar Vaithyanathan:
Introduction: Data Mining on the Internet.
Artif. Intell. Rev. 13(5-6): 343-344 (1999) |
1997 |
2 | EE | Peter G. Anick,
Shivakumar Vaithyanathan:
Exploiting Clustering and Phrases for Context-based Information Retrieval.
SIGIR 1997: 314-323 |
1992 |
1 | EE | Shivakumar Vaithyanathan,
James P. Ignizio:
A stochastic neural network for resource constrained scheduling.
Computers & OR 19(3-4): 241-254 (1992) |