| 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 | 1004 | 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 | 638 | 2007 |
| Bayesian co-training S Yu, B Krishnapuram, H Steck, R Rao, R Rosales Advances in neural information processing systems 20, 2007 | 244 | 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 | 206 | 2004 |
| 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 | 196 | 2007 |
| Computer-Based Patient Management for Healthcare F Farooq, RE Rosales, S Yu, B Krishnapuram, BR Rao US Patent App. 13/228,497, 2012 | 173 | 2012 |
| 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 | 171 | 2008 |
| On semi-supervised classification B Krishnapuram, D Williams, Y Xue, L Carin, M Figueiredo, A Hartemink Advances in neural information processing systems 17, 2004 | 156 | 2004 |
| Multiple instance learning for computer aided diagnosis M Dundar, B Krishnapuram, R Rao, G Fung Advances in neural information processing systems 19, 2006 | 133 | 2006 |
| 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 | 118 | 2011 |
| 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 | 117 | 2007 |
| 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 | 114 | 2015 |
| 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 | 88 | 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 | 72 | 2007 |
| Learning classifiers when the training data is not IID. M Dundar, B Krishnapuram, J Bi, RB Rao IJCAI 2007, 756-61, 2007 | 71 | 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 | 61 | 2015 |
| 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 | 61 | 2010 |
| 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 | 59 | 2014 |
| 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 | 53 | 2008 |
| 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 | 53 | 2008 |
