| 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 | 1111 | 2005 |
| 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 | 704 | 2007 |
| 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 | 312 | 2007 |
| Computer-Based Patient Management for Healthcare F Farooq, RE Rosales, S Yu, B Krishnapuram, BR Rao US Patent App. 13/228,497, 2012 | 278 | 2012 |
| Bayesian co-training S Yu, B Krishnapuram, H Steck, R Rao, R Rosales Advances in neural information processing systems 20, 2007 | 264 | 2007 |
| 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 | 217 | 2004 |
| 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 | 190 | 2008 |
| 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 | 181 | 2011 |
| On semi-supervised classification B Krishnapuram, D Williams, Y Xue, L Carin, M Figueiredo, A Hartemink Advances in neural information processing systems 17, 2004 | 162 | 2004 |
| 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 | 150 | 2015 |
| Multiple instance learning for computer aided diagnosis M Dundar, B Krishnapuram, R Rao, G Fung Advances in neural information processing systems 19, 2006 | 144 | 2006 |
| 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 | 133 | 2007 |
| Learning classifiers when the training data is not IID. M Dundar, B Krishnapuram, J Bi, RB Rao IJCAI 2007, 756-61, 2007 | 99 | 2007 |
| 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 | 97 | 2014 |
| 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 | 93 | 2006 |
| 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 | 82 | 2007 |
| 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 | 78 | 2015 |
| 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 | 64 | 2008 |
| 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 | 63 | 2010 |
| Joint classifier and feature optimization for comprehensive cancer diagnosis using gene expression data B Krishnapuram, L Carin, AJ Hartemink Journal of Computational Biology 11 (2-3), 227-242, 2004 | 56 | 2004 |
