| MILES: Multiple-instance learning via embedded instance selection Y Chen, J Bi, JZ Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (12), 1931 …, 2006 | 785 | 2006 |
| Dimensionality reduction via sparse support vector machines J Bi, K Bennett, M Embrechts, C Breneman, M Song Journal of Machine Learning Research 3 (Mar), 1229-1243, 2003 | 546 | 2003 |
| Active learning via transductive experimental design K Yu, J Bi, V Tresp Proceedings of the 23rd international conference on Machine learning, 1081-1088, 2006 | 305 | 2006 |
| Regression error characteristic curves J Bi, KP Bennett Proceedings of the 20th international conference on machine learning (ICML …, 2003 | 246 | 2003 |
| Support vector classification with input data uncertainty J Bi, T Zhang Advances in neural information processing systems, 161-168, 2005 | 216 | 2005 |
| Prediction of protein retention times in anion-exchange chromatography systems using support vector regression M Song, CM Breneman, J Bi, N Sukumar, KP Bennett, S Cramer, N Tugcu Journal of chemical information and computer sciences 42 (6), 1347-1357, 2002 | 185 | 2002 |
| 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 | 153 | 2008 |
| A geometric approach to support vector regression J Bi, KP Bennett Neurocomputing 55 (1-2), 79-108, 2003 | 111 | 2003 |
| Column-generation boosting methods for mixture of kernels J Bi, T Zhang, KP Bennett Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 104 | 2004 |
| Transcriptional profiles of bovine in vivo pre-implantation development Z Jiang, J Sun, H Dong, O Luo, X Zheng, C Obergfell, Y Tang, J Bi, ... BMC genomics 15 (1), 756, 2014 | 100 | 2014 |
| A sparse support vector machine approach to region-based image categorization J Bi, Y Chen, JZ Wang 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 85 | 2005 |
| An improved multi-task learning approach with applications in medical diagnosis J Bi, T Xiong, S Yu, M Dundar, RB Rao Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008 | 81 | 2008 |
| A fast iterative algorithm for fisher discriminant using heterogeneous kernels G Fung, M Dundar, J Bi, B Rao Proceedings of the twenty-first international conference on Machine learning, 40, 2004 | 71 | 2004 |
| Efficient model selection for regularized linear discriminant analysis J Ye, T Xiong, Q Li, R Janardan, J Bi, V Cherkassky, C Kambhamettu Proceedings of the 15th ACM international conference on Information and …, 2006 | 69 | 2006 |
| Stratified learning of local anatomical context for lung nodules in CT images D Wu, L Lu, J Bi, Y Shinagawa, K Boyer, A Krishnan, M Salganicoff 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 64 | 2010 |
| Computer aided detection of pulmonary embolism with tobogganing and mutiple instance classification in CT pulmonary angiography J Liang, J Bi Biennial International Conference on Information Processing in Medical …, 2007 | 62 | 2007 |
| Joint optimization of cascaded classifiers for computer aided detection MM Dundar, J Bi 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 62 | 2007 |
| Large scale diagnostic code classification for medical patient records LV Lita, S Yu, S Niculescu, J Bi Proceedings of the Third International Joint Conference on Natural Language …, 2008 | 55 | 2008 |
| Multiple instance learning of pulmonary embolism detection with geodesic distance along vascular structure J Bi, J Liang 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 50 | 2007 |
| Learning Classifiers When the Training Data Is Not IID. M Dundar, B Krishnapuram, J Bi, RB Rao IJCAI, 756-761, 2007 | 48 | 2007 |
Bharat RaoSiemensEmail verificata su kpmg.com
