Balaji Krishnapuram
Title
Cited by
Cited by
Year
Sparse multinomial logistic regression: Fast algorithms and generalization bounds
B Krishnapuram, L Carin, MAT Figueiredo, AJ Hartemink
IEEE transactions on pattern analysis and machine intelligence 27 (6), 957-968, 2005
9352005
Multi-Task Learning for Classification with Dirichlet Process Priors.
Y Xue, X Liao, L Carin, B Krishnapuram
Journal of Machine Learning Research 8 (1), 2007
6092007
Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining
B Krishnapuram
Association for Computing Machinery, 2016
3262016
A Bayesian approach to joint feature selection and classifier design
B Krishnapuram, AJ Harternink, L Carin, MAT Figueiredo
IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (9), 1105-1111, 2004
1992004
Bayesian multiple instance learning: automatic feature selection and inductive transfer
VC Raykar, B Krishnapuram, J Bi, M Dundar, RB Rao
Proceedings of the 25th international conference on Machine learning, 808-815, 2008
1602008
On semi-supervised classification
B Krishnapuram, D Williams, Y Xue, L Carin, M Figueiredo, A Hartemink
Advances in neural information processing systems 17, 721-728, 2004
1562004
Bayesian co-training
S Yu, B Krishnapuram, R Rosales, RB Rao
The Journal of Machine Learning Research 12, 2649-2680, 2011
1492011
On ranking in survival analysis: Bounds on the concordance index
H Steck, B Krishnapuram, C Dehing-Oberije, P Lambin, VC Raykar
Advances in neural information processing systems, 1209-1216, 2008
1492008
Multiple instance learning for computer aided diagnosis
G Fung, M Dundar, B Krishnapuram, RB Rao
Advances in neural information processing systems 19, 425, 2007
1282007
Computer-Based Patient Management for Healthcare
F Farooq, RE Rosales, S Yu, B Krishnapuram, BR Rao
US Patent App. 13/228,497, 2012
1092012
On classification with incomplete data
D Williams, X Liao, Y Xue, L Carin, B Krishnapuram
IEEE transactions on pattern analysis and machine intelligence 29 (3), 427-436, 2007
1082007
Healthcare Information Technology System for Predicting and Preventing Adverse Events
F Farooq, RE Rosales, S Yu, B Krishnapuram, BR Rao
US Patent App. 13/153,526, 2011
972011
Predicting readmission risk with institution-specific prediction models
S Yu, F Farooq, A Van Esbroeck, G Fung, V Anand, B Krishnapuram
Artificial intelligence in medicine 65 (2), 89-96, 2015
952015
Bayesian co-training
S Yu, B Krishnapuram, H Steck, RB Rao, R Rosales
Advances in neural information processing systems, 1665-1672, 2008
752008
Variational Bayes for continuous hidden Markov models and its application to active learning
S Ji, B Krishnapuram, L Carin
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (4), 522-532, 2006
712006
Impact of supervised gene signatures of early hypoxia on patient survival
R Seigneuric, MHW Starmans, G Fung, B Krishnapuram, DSA Nuyten, ...
Radiotherapy and Oncology 83 (3), 374-382, 2007
662007
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
VC Raykar, B Krishnapuram, S Yu
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
572010
Learning Classifiers When the Training Data Is Not IID.
M Dundar, B Krishnapuram, J Bi, RB Rao
IJCAI 2007, 756-61, 2007
562007
Healthcare information technology system for predicting or preventing readmissions
F Farooq, RE Rosales, S Yu, B Krishnapuram, BR Rao
US Patent 8,949,082, 2015
512015
Robust prognostic value of a knowledge-based proliferation signature across large patient microarray studies spanning different cancer types
MHW Starmans, B Krishnapuram, H Steck, H Horlings, DSA Nuyten, ...
British journal of cancer 99 (11), 1884-1890, 2008
512008
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