Jinbo Bi

	2009
28		Dijia Wu, Jinbo Bi, Kim Boyer: A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis. CVPR 2009: 1359-1366
27		Le Lu, Matthias Wolf, Jianming Liang, Murat Dundar, Jinbo Bi, Marcos Salganicoff: A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings. MICCAI (1) 2009: 1009-1016
	2008
26		Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao: An Improved Multi-task Learning Approach with Applications in Medical Diagnosis. ECML/PKDD (1) 2008: 117-132
25		Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao: Bayesian multiple instance learning: automatic feature selection and inductive transfer. ICML 2008: 808-815
	2007
24		Jinbo Bi, Tao Xiong: A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis. AAAI 2007: 522-527
23		Murat Dundar, Jinbo Bi: Joint Optimization of Cascaded Classifiers for Computer Aided Detection. CVPR 2007
22		Jinbo Bi, Jianming Liang: Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure. CVPR 2007
21		Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao: Learning Classifiers When the Training Data Is Not IID. IJCAI 2007: 756-761
20		Jianming Liang, Jinbo Bi: Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography. IPMI 2007: 630-641
19		R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salganicoff, Nancy Obuchowski, David P. Naidich: LungCAD: a clinically approved, machine learning system for lung cancer detection. KDD 2007: 1033-1037
18		Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky: Probabilistic Joint Feature Selection for Multi-task Learning. SDM 2007
	2006
17		Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu: Efficient model selection for regularized linear discriminant analysis. CIKM 2006: 532-539
16		Kai Yu, Jinbo Bi, Volker Tresp: Active learning via transductive experimental design. ICML 2006: 1081-1088
15		Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Toshiro Kubota, Glenn Fung, Marcos Salganicoff, R. Bharat Rao: Computer aided detection via asymmetric cascade of sparse hyperplane classifiers. KDD 2006: 837-844
14		Yixin Chen, Jinbo Bi, James Ze Wang: MILES: Multiple-Instance Learning via Embedded Instance Selection. IEEE Trans. Pattern Anal. Mach. Intell. 28(12): 1931-1947 (2006)
13		Terran Lane, R. Bharat Rao, Jinbo Bi, Jianming Liang, Marcos Salganicoff: On the medical frontier: the 2006 KDD Cup competition and results. SIGKDD Explorations 8(2): 39-46 (2006)
	2005
12		Jinbo Bi, Yixin Chen, James Ze Wang: A Sparse Support Vector Machine Approach to Region-Based Image Categorization. CVPR (1) 2005: 1121-1128
11		Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao: Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM 2005: 569-572
10		Mehmet Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao: Sparse Fisher Discriminant Analysis for Computer Aided Detection. SDM 2005
	2004
9		Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao: A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML 2004
8		Jinbo Bi, Tong Zhang, Kristin P. Bennett: Column-generation boosting methods for mixture of kernels. KDD 2004: 521-526
7		Jinbo Bi, Tong Zhang: Support Vector Classification with Input Data Uncertainty. NIPS 2004
	2003
6		Jinbo Bi, Vladimir Vapnik: Learning with Rigorous Support Vector Machines. COLT 2003: 243-257
5		Jinbo Bi: Multi-Objective Programming in SVMs. ICML 2003: 35-42
4		Jinbo Bi, Kristin P. Bennett: Regression Error Characteristic Curves. ICML 2003: 43-50
3		Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song: Dimensionality Reduction via Sparse Support Vector Machines. Journal of Machine Learning Research 3: 1229-1243 (2003)
2		Jinbo Bi, Kristin P. Bennett: A geometric approach to support vector regression. Neurocomputing 55(1-2): 79-108 (2003)
	2002
1		Minghu Song, Curt M. Breneman, Jinbo Bi, Nagamani Sukumar, Kristin P. Bennett, Steven M. Cramer, Nihal Tugcu: Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression. Journal of Chemical Information and Computer Sciences 42(6): 1347-1357 (2002)

Coauthor Index

1	Kristin P. Bennett	[1] [2] [3] [4] [8]
2	Kim Boyer	[28]
3	Curt M. Breneman	[1] [3]
4	Yixin Chen	[12] [14]
5	Vladimir Cherkassky	[17] [18]
6	Steven M. Cramer	[1]
7	Mehmet Dundar	[10]
8	Murat Dundar	[9] [11] [21] [23] [25] [26] [27]
9	Mark J. Embrechts	[3]
10	Glenn Fung	[9] [10] [11] [15] [19]
11	Ravi Janardan	[17]
12	Chandra Kambhamettu	[17]
13	Balaji Krishnapuram	[21] [25]
14	Toshiro Kubota	[15]
15	Terran Lane	[13]
16	Qi Li	[17]
17	Jianming Liang	[13] [20] [22] [27]
18	Le Lu	[27]
19	David P. Naidich	[19]
20	Nancy Obuchowski	[19]
21	Kazunori Okada	[15]
22	Senthil Periaswamy	[15]
23	R. Bharat Rao	[9] [10] [11] [13] [15] [18] [19] [21] [25] [26]
24	Vikas C. Raykar	[25]
25	Marcos Salganicoff	[13] [15] [19] [27]
26	Sathyakama Sandilya	[10]
27	Minghu Song	[1] [3]
28	Nagamani Sukumar	[1]
29	Volker Tresp	[16]
30	Nihal Tugcu	[1]
31	Vladimir Vapnik	[6]
32	James Ze Wang	[12] [14]
33	Matthias Wolf	[27]
34	Dijia Wu	[28]
35	Tao Xiong	[17] [18] [24] [26]
36	Jieping Ye	[17]
37	Kai Yu	[16]
38	Shipeng Yu	[26]
39	Tong Zhang	[7] [8]

Colors in the list of coauthors