Jinbo Bi
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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
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
Active learning via transductive experimental design
K Yu, J Bi, V Tresp
Proceedings of the 23rd international conference on Machine learning, 1081-1088, 2006
Regression error characteristic curves
J Bi, KP Bennett
Proceedings of the 20th international conference on machine learning (ICML …, 2003
Support vector classification with input data uncertainty
J Bi, T Zhang
Advances in neural information processing systems, 161-168, 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
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
A geometric approach to support vector regression
J Bi, KP Bennett
Neurocomputing 55 (1-2), 79-108, 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
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
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
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
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
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
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
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
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
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
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
Learning Classifiers When the Training Data Is Not IID.
M Dundar, B Krishnapuram, J Bi, RB Rao
IJCAI, 756-761, 2007
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