Jinbo Bi

	2012
41		Jinbo Bi, Arun Abraham: An intelligent web-based decision support tool for enhancing asthma guideline adherence. IHI 2012: 51-60
40		Michael Zuba, Joseph Gilbert, Yu Wu, Jinbo Bi, Howard Tennen, Stephen Armeli: 1-norm support vector machine for college drinking risk factor identification. IHI 2012: 651-660
	2011
39		Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff: Effective 3D object detection and regression using probabilistic segmentation features in CT images. CVPR 2011: 1049-1056
38		Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf: AdaBoost on low-rank PSD matrices for metric learning. CVPR 2011: 2617-2624
37		Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff: Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. MICCAI (3) 2011: 75-82
36		Shipeng Yu, Jinbo Bi, Jieping Ye: Matrix-variate and higher-order probabilistic projections. Data Min. Knowl. Discov. 22(3): 372-392 (2011)
	2010
35		Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Kim L. Boyer, Arun Krishnan, Marcos Salganicoff: Stratified learning of local anatomical context for lung nodules in CT images. CVPR 2010: 2791-2798
34		Le Lu, Matthias Wolf, Jinbo Bi, Marcos Salganicoff: Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography. MCV 2010: 118-129
33		Jinbo Bi, Dengyuan Chen: Soliton solutions of higher-order generalized derivative nonlinear Schrödinger equation. Computers & Mathematics with Applications 60(7): 1881-1887 (2010)
	2009
32		Dijia Wu, Jinbo Bi, Kim L. Boyer: A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis. CVPR 2009: 1359-1366
31		Le Lu, Jinbo Bi, Shipeng Yu, Zhigang Peng, Arun Krishnan, Xiang Sean Zhou: Hierarchical learning for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography. ICCV 2009: 2021-2028
30		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
29		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
28		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
27		Jinbo Bi, Tao Xiong: A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis. AAAI 2007: 522-527
26		Murat Dundar, Jinbo Bi: Joint Optimization of Cascaded Classifiers for Computer Aided Detection. CVPR 2007
25		Jinbo Bi, Jianming Liang: Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure. CVPR 2007
24		Jian-Wu Xu, Shipeng Yu, Jinbo Bi, Lucian Vlad Lita, Radu Stefan Niculescu, R. Bharat Rao: Automatic medical coding of patient records via weighted ridge regression. ICMLA 2007: 260-265
23		Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao: Learning Classifiers When the Training Data Is Not IID. IJCAI 2007: 756-761
22		Jianming Liang, Jinbo Bi: Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography. IPMI 2007: 630-641
21		Anna K. Jerebko, G. P. Schmidt, Xiang Sean Zhou, Jinbo Bi, V. Anand, J. Liu, S. Schoenberg, I. Schmuecking, B. Kiefer, Arun Krishnan: Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI. IPMI 2007: 713-724
20		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
19		Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky: Probabilistic Joint Feature Selection for Multi-task Learning. SDM 2007
	2006
18		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
17		Kai Yu, Jinbo Bi, Volker Tresp: Active learning via transductive experimental design. ICML 2006: 1081-1088
16		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
15		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)
14		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
13		Jinbo Bi, Yixin Chen, James Ze Wang: A Sparse Support Vector Machine Approach to Region-Based Image Categorization. CVPR (1) 2005: 1121-1128
12		Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao: Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM 2005: 569-572
11		Glenn Fung, Maleeha Qazi, Sriram Krishnan, Jinbo Bi, R. Bharat Rao, A. Katz: Sparse classifiers for Automated HeartWall Motion Abnormality Detection. ICMLA 2005: 194-200
10		Murat 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	Arun Abraham	[41]
2	V. Anand	[21]
3	Stephen Armeli	[40]
4	Kristin P. Bennett	[1] [2] [3] [4] [8]
5	Kim L. Boyer	[32] [35]
6	Curt M. Breneman	[1] [3]
7	Dengyuan Chen	[33]
8	Yixin Chen	[13] [15]
9	Vladimir Cherkassky	[18] [19]
10	Steven M. Cramer	[1]
11	Murat Dundar	[9] [10] [12] [23] [26] [28] [29] [30]
12	Mark J. Embrechts	[3]
13	Glenn Fung	[9] [10] [11] [12] [16] [20]
14	Joseph Gilbert	[40]
15	Ravi Janardan	[18]
16	Anna K. Jerebko	[21]
17	Chandra Kambhamettu	[18]
18	A. Katz	[11]
19	B. Kiefer	[21]
20	Arun Krishnan	[21] [31] [35]
21	Sriram Krishnan	[11]
22	Balaji Krishnapuram	[23] [28]
23	Toshiro Kubota	[16]
24	Terran Lane	[14]
25	Qi Li	[18]
26	Jianming Liang	[14] [22] [25] [30]
27	Lucian Vlad Lita	[24]
28	J. Liu	[21]
29	Meizhu Liu	[37] [38]
30	Le Lu	[30] [31] [34] [35] [37] [38] [39]
31	David P. Naidich	[20]
32	Radu Stefan Niculescu	[24]
33	Nancy Obuchowski	[20]
34	Kazunori Okada	[16]
35	Zhigang Peng	[31]
36	Senthil Periaswamy	[16]
37	Maleeha Qazi	[11]
38	R. Bharat Rao	[9] [10] [11] [12] [14] [16] [19] [20] [23] [24] [28] [29]
39	Vikas C. Raykar	[28] [37]
40	Marcos Salganicoff	[14] [16] [20] [30] [34] [35] [37] [39]
41	Sathyakama Sandilya	[10]
42	G. P. Schmidt	[21]
43	I. Schmuecking	[21]
44	S. Schoenberg	[21]
45	Yoshihisa Shinagawa	[35]
46	Minghu Song	[1] [3]
47	Nagamani Sukumar	[1]
48	Yimo Tao	[38]
49	Howard Tennen	[40]
50	Volker Tresp	[17]
51	Nihal Tugcu	[1]
52	Vladimir Vapnik	[6]
53	James Ze Wang	[13] [15]
54	Matthias Wolf	[30] [34] [37] [38] [39]
55	Dijia Wu	[32] [35] [38]
56	Yu Wu	[40]
57	Tao Xiong	[18] [19] [27] [29]
58	Jian-Wu Xu	[24]
59	Jieping Ye	[18] [36]
60	Kai Yu	[17]
61	Shipeng Yu	[24] [29] [31] [36]
62	Tong Zhang	[7] [8]
63	Xiang Sean Zhou	[21] [31]
64	Michael Zuba	[40]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page