Jinbo Bi Vis

*	2009
27	EE	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	EE	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	EE	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	EE	Murat Dundar, Jinbo Bi: Joint Optimization of Cascaded Classifiers for Computer Aided Detection. CVPR 2007
22	EE	Jinbo Bi, Jianming Liang: Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure. CVPR 2007
21	EE	Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao: Learning Classifiers When the Training Data Is Not IID. IJCAI 2007: 756-761
20	EE	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	EE	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	EE	Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky: Probabilistic Joint Feature Selection for Multi-task Learning. SDM 2007
	2006
17	EE	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	EE	Kai Yu, Jinbo Bi, Volker Tresp: Active learning via transductive experimental design. ICML 2006: 1081-1088
15	EE	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	EE	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	EE	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	EE	Jinbo Bi, Yixin Chen, James Ze Wang: A Sparse Support Vector Machine Approach to Region-Based Image Categorization. CVPR (1) 2005: 1121-1128
11	EE	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	EE	Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao: A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML 2004
8	EE	Jinbo Bi, Tong Zhang, Kristin P. Bennett: Column-generation boosting methods for mixture of kernels. KDD 2004: 521-526
7	EE	Jinbo Bi, Tong Zhang: Support Vector Classification with Input Data Uncertainty. NIPS 2004
	2003
6	EE	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	EE	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	EE	Jinbo Bi, Kristin P. Bennett: A geometric approach to support vector regression. Neurocomputing 55(1-2): 79-108 (2003)
	2002
1	EE	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	Curt M. Breneman	[1] [3]
3	Yixin Chen	[12] [14]
4	Vladimir Cherkassky	[17] [18]
5	Steven M. Cramer	[1]
6	Mehmet Dundar	[10]
7	Murat Dundar	[9] [11] [21] [23] [25] [26] [27]
8	Mark J. Embrechts	[3]
9	Glenn Fung	[9] [10] [11] [15] [19]
10	Ravi Janardan	[17]
11	Chandra Kambhamettu	[17]
12	Balaji Krishnapuram	[21] [25]
13	Toshiro Kubota	[15]
14	Terran Lane	[13]
15	Qi Li	[17]
16	Jianming Liang	[13] [20] [22] [27]
17	Le Lu	[27]
18	David P. Naidich	[19]
19	Nancy Obuchowski	[19]
20	Kazunori Okada	[15]
21	Senthil Periaswamy	[15]
22	R. Bharat Rao	[9] [10] [11] [13] [15] [18] [19] [21] [25] [26]
23	Vikas C. Raykar	[25]
24	Marcos Salganicoff	[13] [15] [19] [27]
25	Sathyakama Sandilya	[10]
26	Minghu Song	[1] [3]
27	Nagamani Sukumar	[1]
28	Volker Tresp	[16]
29	Nihal Tugcu	[1]
30	Vladimir Vapnik	[6]
31	James Ze Wang	[12] [14]
32	Matthias Wolf	[27]
33	Tao Xiong	[17] [18] [24] [26]
34	Jieping Ye	[17]
35	Kai Yu	[16]
36	Shipeng Yu	[26]
37	Tong Zhang	[7] [8]

Colors in the list of coauthors