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Balaji Krishnapuram
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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
10042005
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
6382007
Bayesian co-training
S Yu, B Krishnapuram, H Steck, R Rao, R Rosales
Advances in neural information processing systems 20, 2007
2442007
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
2062004
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 20, 2007
1962007
Computer-Based Patient Management for Healthcare
F Farooq, RE Rosales, S Yu, B Krishnapuram, BR Rao
US Patent App. 13/228,497, 2012
1732012
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
1712008
On semi-supervised classification
B Krishnapuram, D Williams, Y Xue, L Carin, M Figueiredo, A Hartemink
Advances in neural information processing systems 17, 2004
1562004
Multiple instance learning for computer aided diagnosis
M Dundar, B Krishnapuram, R Rao, G Fung
Advances in neural information processing systems 19, 2006
1332006
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
1182011
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
1172007
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
1142015
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
882006
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
722007
Learning classifiers when the training data is not IID.
M Dundar, B Krishnapuram, J Bi, RB Rao
IJCAI 2007, 756-61, 2007
712007
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
612015
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
612010
Leveraging Public Health Data for Prediction and Prevention of Adverse Events
F Farooq, B Krishnapuram, G Fung, S Yu, K Nielsen
US Patent App. 14/032,522, 2014
592014
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
532008
Multiple-instance learning algorithms for computer-aided detection
MM Dundar, G Fung, B Krishnapuram, RB Rao
IEEE Transactions on Biomedical Engineering 55 (3), 1015-1021, 2008
532008
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