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
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
Support vector classification with input data uncertainty
J Bi, T Zhang
Advances in neural information processing systems 17, 2004
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 survey on multi-view clustering
G Chao, S Sun, J Bi
IEEE Transactions on Artificial Intelligence 2 (2), 146-168, 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
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
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
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
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
VIGAN: Missing view imputation with generative adversarial networks
C Shang, A Palmer, J Sun, KS Chen, J Lu, J Bi
2017 IEEE International Conference on Big Data (Big Data), 766-775, 2017
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
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
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