Glenn Fung

	2009
37		Volkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy: Multi-Class Classifiers and their Underlying Shared Structure. IJCAI 2009: 1267-1272
36		Olvi L. Mangasarian, Edward W. Wild, Glenn Fung: Proximal Knowledge-based Classification. Statistical Analysis and Data Mining 1(4): 215-222 (2009)
	2008
35		Glenn Fung, Sriram Krishnan, R. Bharat Rao, Hui Chen: Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection. AAAI 2008: 1663-1670
34		Mark Schmidt, Kevin Murphy, Glenn Fung, Rómer Rosales: Structure learning in random fields for heart motion abnormality detection. CVPR 2008
33		Philippe Bamberger, Isaac Leichter, Nicolas Merlet, Eli Ratner, Glenn Fung, Richard Lederman: Optimizing the CAD Process for Detecting Mammographic Lesions by a New Generation Algorithm Using Linear Classifiers and a Gradient Based Approach. Digital Mammography / IWDM 2008: 358-365
32		Isaac Leichter, Richard Lederman, Eli Ratner, Nicolas Merlet, Glenn Fung, Balaji Krishnapuram, Philippe Bamberger: Does a Mammography CAD Algorithm with Varying Filtering Levels of Detection Marks, Used to Reduce the False Mark Rate, Adversely Affect the Detection of Small Masses?. Digital Mammography / IWDM 2008: 504-509
31		Shipeng Yu, Glenn Fung, Rómer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, Philippe Lambin: Privacy-preserving cox regression for survival analysis. KDD 2008: 1034-1042
30		R. Bharat Rao, Glenn Fung: On the Dangers of Cross-Validation. An Experimental Evaluation. SDM 2008: 588-596
29		Glenn Fung, Sathyakama Sandilya, R. Bharat Rao: Rule Extraction from Linear Support Vector Machines via Mathematical Programming. Rule Extraction from Support Vector Machines 2008: 83-107
28		Olvi L. Mangasarian, Edward W. Wild, Glenn Fung: Privacy-preserving classification of vertically partitioned data via random kernels. TKDD 2(3): (2008)
	2007
27		Mark Schmidt, Glenn Fung, Rómer Rosales: Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches. ECML 2007: 286-297
26		Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran: Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks. IJCAI 2007: 519-525
25		Glenn Fung, Rómer Rosales, R. Bharat Rao: Feature Selection and Kernel Design via Linear Programming. IJCAI 2007: 786-791
24		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
23		Glenn Fung, Jonathan Stoeckel: SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information. Knowl. Inf. Syst. 11(2): 243-258 (2007)
	2006
22		Glenn Fung, Balaji Krishnapuram, Nicolas Merlet, Eli Ratner, Philippe Bamberger, Jonathan Stoeckel, R. Bharat Rao: Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcifications. Digital Mammography / IWDM 2006: 84-91
21		Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao: Batch Classification with Applications in Computer Aided Diagnosis. ECML 2006: 449-460
20		Rómer Rosales, Glenn Fung: Learning sparse metrics via linear programming. KDD 2006: 367-373
19		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
18		Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao: Multiple Instance Learning for Computer Aided Diagnosis. NIPS 2006: 425-432
	2005
17		Jonathan Stoeckel, Glenn Fung: SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information. ICDM 2005: 410-417
16		Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao: Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM 2005: 569-572
15		Glenn Fung, Sathyakama Sandilya, R. Bharat Rao: Rule extraction from linear support vector machines. KDD 2005: 32-40
14		Glenn Fung, Rómer Rosales, Balaji Krishnapuram: Learning Rankings via Convex Hull Separation. NIPS 2005
13		Mehmet Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao: Sparse Fisher Discriminant Analysis for Computer Aided Detection. SDM 2005
12		Glenn Fung, Olvi L. Mangasarian: Multicategory Proximal Support Vector Machine Classifiers. Machine Learning 59(1-2): 77-97 (2005)
	2004
11		Murat Dundar, Glenn Fung, Luca Bogoni, Michael Macari, A. Megibow, R. Bharat Rao: A methodology for training and validating a CAD system and potential pitfalls. CARS 2004: 1010-1014
10		Pascal Cathier, Senthil Periaswamy, Anna K. Jerebko, Murat Dundar, J. Liang, Glenn Fung, Jonathan Stoeckel, T. Venkata, R. Amara, Arun Krishnan, R. Bharat Rao, Alok Gupta, E. Vega, Shaked Laks, A. Megibow, Michael Macari, Luca Bogoni: CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening. CARS 2004: 978-982
9		Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao: A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML 2004
	2003
8		Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik: Knowledge-Based Nonlinear Kernel Classifiers. COLT 2003: 102-113
7		Glenn Fung: The disputed federalist papers: SVM feature selection via concave minimization. Richard Tapia Celebration of Diversity in Computing Conference 2003: 42-46
6		Glenn Fung, Olvi L. Mangasarian: Finite Newton method for Lagrangian support vector machine classification. Neurocomputing 55(1-2): 39-55 (2003)
	2002
5		Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik: Knowledge-Based Support Vector Machine Classifiers. NIPS 2002: 521-528
4		Glenn Fung, Olvi L. Mangasarian: Incremental Support Vector Machine Classification. SDM 2002
3		Glenn Fung, Olvi L. Mangasarian, Alex J. Smola: Minimal Kernel Classifiers. Journal of Machine Learning Research 3: 303-321 (2002)
	2001
2		Glenn Fung, Olvi L. Mangasarian: Proximal support vector machine classifiers. KDD 2001: 77-86
	2000
1		Glenn Fung, Olvi L. Mangasarian: Data selection for support vector machine classifiers. KDD 2000: 64-70

Coauthor Index

1	R. Amara	[10]
2	Philippe Bamberger	[22] [32] [33]
3	Jinbo Bi	[9] [13] [16] [19] [24]
4	Luca Bogoni	[10] [11]
5	Pascal Cathier	[10]
6	Dhanalakshmi Chandrasekaran	[26]
7	Hui Chen	[35]
8	Cary Dehing-Oberije	[31]
9	Mehmet Dundar	[13]
10	Murat Dundar	[9] [10] [11] [16] [18]
11	Jennifer G. Dy	[21] [37]
12	Alok Gupta	[10]
13	Anna K. Jerebko	[10]
14	Arun Krishnan	[10]
15	Sriram Krishnan	[26] [31] [35]
16	Balaji Krishnapuram	[14] [18] [21] [22] [32]
17	Toshiro Kubota	[19]
18	Shaked Laks	[10]
19	Philippe Lambin	[31]
20	Richard Lederman	[32] [33]
21	Isaac Leichter	[32] [33]
22	J. Liang	[10]
23	Michael Macari	[10] [11]
24	Olvi L. Mangasarian (O. L. Mangasarian)	[1] [2] [3] [4] [5] [6] [8] [12] [28] [36]
25	A. Megibow	[10] [11]
26	Nicolas Merlet	[22] [32] [33]
27	Kevin Murphy	[34]
28	David P. Naidich	[24]
29	Nancy Obuchowski	[24]
30	Kazunori Okada	[19]
31	Senthil Periaswamy	[10] [19]
32	Don Poldermans	[26]
33	Maleeha Qazi	[26]
34	R. Bharat Rao	[9] [10] [11] [13] [15] [16] [18] [19] [21] [22] [24] [25] [26] [29] [30] [31] [35]
35	Eli Ratner	[22] [32] [33]
36	Rómer Rosales	[14] [20] [25] [26] [27] [31] [34] [37]
37	Marcos Salganicoff	[19] [24]
38	Sathyakama Sandilya	[13] [15] [29]
39	Mark Schmidt	[27] [34]
40	Jude W. Shavlik	[5] [8]
41	Alexander J. Smola (Alex J. Smola)	[3]
42	Harald Steck	[26]
43	Jonathan Stoeckel	[10] [17] [22] [23]
44	E. Vega	[10]
45	T. Venkata	[10]
46	Volkan Vural	[21] [37]
47	Edward W. Wild	[28] [36]
48	Shipeng Yu	[31]

Colors in the list of coauthors