Glenn Fung

2008
28	EE	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
2007
27	EE	Mark Schmidt, Glenn Fung, Rómer Rosales: Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches. ECML 2007: 286-297
26	EE	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	EE	Glenn Fung, Rómer Rosales, R. Bharat Rao: Feature Selection and Kernel Design via Linear Programming. IJCAI 2007: 786-791
24	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
23	EE	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	EE	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	EE	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	EE	Rómer Rosales, Glenn Fung: Learning sparse metrics via linear programming. KDD 2006: 367-373
19	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
18	EE	Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao: Multiple Instance Learning for Computer Aided Diagnosis. NIPS 2006: 425-432
2005
17	EE	Jonathan Stoeckel, Glenn Fung: SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information. ICDM 2005: 410-417
16	EE	Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao: Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM 2005: 569-572
15	EE	Glenn Fung, Sathyakama Sandilya, R. Bharat Rao: Rule extraction from linear support vector machines. KDD 2005: 32-40
14	EE	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	EE	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	EE	Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao: A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML 2004
2003
8	EE	Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik: Knowledge-Based Nonlinear Kernel Classifiers. COLT 2003: 102-113
7	EE	Glenn Fung: The disputed federalist papers: SVM feature selection via concave minimization. Richard Tapia Celebration of Diversity in Computing Conference 2003: 42-46
6	EE	Glenn Fung, Olvi L. Mangasarian: Finite Newton method for Lagrangian support vector machine classification. Neurocomputing 55(1-2): 39-55 (2003)
2002
5	EE	Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik: Knowledge-Based Support Vector Machine Classifiers. NIPS 2002: 521-528
4	EE	Glenn Fung, Olvi L. Mangasarian: Incremental Support Vector Machine Classification. SDM 2002
3	EE	Glenn Fung, Olvi L. Mangasarian, Alex J. Smola: Minimal Kernel Classifiers. Journal of Machine Learning Research 3: 303-321 (2002)
2001
2	EE	Glenn Fung, Olvi L. Mangasarian: Proximal support vector machine classifiers. KDD 2001: 77-86
2000
1	EE	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]
3	Jinbo Bi	[9] [13] [16] [19] [24]
4	Luca Bogoni	[10] [11]
5	Pascal Cathier	[10]
6	Dhanalakshmi Chandrasekaran	[26]
7	Mehmet Dundar	[13]
8	Murat Dundar	[9] [10] [11] [16] [18]
9	Jennifer G. Dy	[21]
10	Alok Gupta	[10]
11	Anna K. Jerebko	[10]
12	Arun Krishnan	[10]
13	Sriram Krishnan	[26]
14	Balaji Krishnapuram	[14] [18] [21] [22]
15	Toshiro Kubota	[19]
16	Shaked Laks	[10]
17	J. Liang	[10]
18	Michael Macari	[10] [11]
19	Olvi L. Mangasarian (O. L. Mangasarian)	[1] [2] [3] [4] [5] [6] [8] [12]
20	A. Megibow	[10] [11]
21	Nicolas Merlet	[22]
22	David P. Naidich	[24]
23	Nancy Obuchowski	[24]
24	Kazunori Okada	[19]
25	Senthil Periaswamy	[10] [19]
26	Don Poldermans	[26]
27	Maleeha Qazi	[26]
28	R. Bharat Rao	[9] [10] [11] [13] [15] [16] [18] [19] [21] [22] [24] [25] [26] [28]
29	Eli Ratner	[22]
30	Rómer Rosales	[14] [20] [25] [26] [27]
31	Marcos Salganicoff	[19] [24]
32	Sathyakama Sandilya	[13] [15] [28]
33	Mark Schmidt	[27]
34	Jude W. Shavlik	[5] [8]
35	Alexander J. Smola (Alex J. Smola)	[3]
36	Harald Steck	[26]
37	Jonathan Stoeckel	[10] [17] [22] [23]
38	E. Vega	[10]
39	T. Venkata	[10]
40	Volkan Vural	[21]

Colors in the list of coauthors