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Glenn Fung Vis

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*2009
37EEVolkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy: Multi-Class Classifiers and their Underlying Shared Structure. IJCAI 2009: 1267-1272
36EEOlvi 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
34EEMark Schmidt, Kevin Murphy, Glenn Fung, Rómer Rosales: Structure learning in random fields for heart motion abnormality detection. CVPR 2008
33EEPhilippe 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
32EEIsaac 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
31EEShipeng 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
30EER. Bharat Rao, Glenn Fung: On the Dangers of Cross-Validation. An Experimental Evaluation. SDM 2008: 588-596
29EEGlenn 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
28EEOlvi L. Mangasarian, Edward W. Wild, Glenn Fung: Privacy-preserving classification of vertically partitioned data via random kernels. TKDD 2(3): (2008)
2007
27EEMark Schmidt, Glenn Fung, Rómer Rosales: Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches. ECML 2007: 286-297
26EEMaleeha 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
25EEGlenn Fung, Rómer Rosales, R. Bharat Rao: Feature Selection and Kernel Design via Linear Programming. IJCAI 2007: 786-791
24EER. 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
23EEGlenn 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
22EEGlenn 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
21EEVolkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao: Batch Classification with Applications in Computer Aided Diagnosis. ECML 2006: 449-460
20EERómer Rosales, Glenn Fung: Learning sparse metrics via linear programming. KDD 2006: 367-373
19EEJinbo 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
18EEGlenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao: Multiple Instance Learning for Computer Aided Diagnosis. NIPS 2006: 425-432
2005
17EEJonathan Stoeckel, Glenn Fung: SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information. ICDM 2005: 410-417
16EEJinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao: Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM 2005: 569-572
15EEGlenn Fung, Sathyakama Sandilya, R. Bharat Rao: Rule extraction from linear support vector machines. KDD 2005: 32-40
14EEGlenn 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
12EEGlenn 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
9EEGlenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao: A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML 2004
2003
8EEGlenn Fung, Olvi L. Mangasarian, Jude W. Shavlik: Knowledge-Based Nonlinear Kernel Classifiers. COLT 2003: 102-113
7EEGlenn Fung: The disputed federalist papers: SVM feature selection via concave minimization. Richard Tapia Celebration of Diversity in Computing Conference 2003: 42-46
6EEGlenn Fung, Olvi L. Mangasarian: Finite Newton method for Lagrangian support vector machine classification. Neurocomputing 55(1-2): 39-55 (2003)
2002
5EEGlenn Fung, Olvi L. Mangasarian, Jude W. Shavlik: Knowledge-Based Support Vector Machine Classifiers. NIPS 2002: 521-528
4EEGlenn Fung, Olvi L. Mangasarian: Incremental Support Vector Machine Classification. SDM 2002
3EEGlenn Fung, Olvi L. Mangasarian, Alex J. Smola: Minimal Kernel Classifiers. Journal of Machine Learning Research 3: 303-321 (2002)
2001
2EEGlenn Fung, Olvi L. Mangasarian: Proximal support vector machine classifiers. KDD 2001: 77-86
2000
1EEGlenn Fung, Olvi L. Mangasarian: Data selection for support vector machine classifiers. KDD 2000: 64-70

Coauthor Index

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

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)