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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
8832006
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
5942003
Active learning via transductive experimental design
K Yu, J Bi, V Tresp
Proceedings of the 23rd international conference on Machine learning, 1081-1088, 2006
3792006
Regression error characteristic curves
J Bi, KP Bennett
Proceedings of the 20th international conference on machine learning (ICML …, 2003
3032003
Support vector classification with input data uncertainty
J Bi, T Zhang
Advances in neural information processing systems 17, 2004
2582004
End-to-end structure-aware convolutional networks for knowledge base completion
C Shang, Y Tang, J Huang, J Bi, X He, B Zhou
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3060-3067, 2019
2152019
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
2012002
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
1702008
A survey on multi-view clustering
G Chao, S Sun, J Bi
IEEE Transactions on Artificial Intelligence 2 (2), 146-168, 2021
133*2021
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), 1-15, 2014
1322014
A geometric approach to support vector regression
J Bi, KP Bennett
Neurocomputing 55 (1-2), 79-108, 2003
1222003
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
1112004
Machine learning identification of EEG features predicting working memory performance in schizophrenia and healthy adults
JK Johannesen, J Bi, R Jiang, JG Kenney, CMA Chen
Neuropsychiatric electrophysiology 2 (1), 1-21, 2016
1012016
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
902005
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
872008
Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data
AA Farhan, C Yue, R Morillo, S Ware, J Lu, J Bi, J Kamath, A Russell, ...
2016 IEEE wireless health (WH), 1-8, 2016
802016
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
802004
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
782010
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
782007
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
762006
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