| 2011 |
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| 47 | Active Learning from Crowds. Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy. ICML 2011, 1161-1168. Web SearchBibTeX |
| 2010 |
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| 46 | From Transformation-Based Dimensionality Reduction to Feature Selection. Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy. ICML 2010, 751-758. Web SearchBibTeXDownload |
| 45 | Modeling annotator expertise: Learning when everybody knows a bit of something. Yan Yan, Rómer Rosales, Glenn Fung, Mark W. Schmidt, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy, Jennifer G. Dy. Journal of Machine Learning Research - Proceedings Track (9): 932-939 (2010). Web SearchBibTeXDownload |
| 44 | Medical coding classification by leveraging inter-code relationships. Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales. KDD 2010, 193-202. Web SearchBibTeXDownload |
| 43 | Convex Principal Feature Selection. Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, Jennifer G. Dy. SDM 2010, 619-628. Web SearchBibTeXDownload |
| 42 | Modeling Multiple Annotator Expertise in the Semi-Supervised Learning Scenario. Yan Yan, Rómer Rosales, Glenn Fung, Jennifer G. Dy. UAI 2010, 674-682. Web SearchBibTeXDownload |
| 2009 |
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| 41 | Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data. Andre Dekker, Cary Dehing-Oberije, Dirk De Ruysscher, Philippe Lambin, Kartik Komati, Glenn Fung, Shipeng Yu, Andrew Hope, Wilfried De Neve, Yolande Lievens. ICMLA 2009, 494-497. Web SearchBibTeXDownload |
| 40 | Multi-Class Classifiers and their Underlying Shared Structure. Volkan Vural, Glenn Fung, Rómer Rosales, Jennifer G. Dy. IJCAI 2009, 1267-1272. Web SearchBibTeXDownload |
| 39 | Using Local Dependencies within Batches to Improve Large Margin Classifiers. Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao. Journal of Machine Learning Research (10): 183-206 (2009). Web SearchBibTeXDownload |
| 38 | Proximal Knowledge-based Classification. Olvi L. Mangasarian, Edward W. Wild, Glenn Fung. Statistical Analysis and Data Mining (1): 215-222 (2009). Web SearchBibTeXDownload |
| 2008 |
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| 37 | Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection. Glenn Fung, Sriram Krishnan, R. Bharat Rao, Hui Chen. AAAI 2008, 1663-1670. Web SearchBibTeX |
| 36 | Structure learning in random fields for heart motion abnormality detection. Mark W. Schmidt, Kevin Murphy, Glenn Fung, Rómer Rosales. CVPR 2008. Web SearchBibTeXDownload |
| 35 | Optimizing the CAD Process for Detecting Mammographic Lesions by a New Generation Algorithm Using Linear Classifiers and a Gradient Based Approach. Philippe Bamberger, Isaac Leichter, Nicolas Merlet, Eli Ratner, Glenn Fung, Richard Lederman. Digital Mammography / IWDM 2008, 358-365. Web SearchBibTeXDownload |
| 34 | 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?. Isaac Leichter, Richard Lederman, Eli Ratner, Nicolas Merlet, Glenn Fung, Balaji Krishnapuram, Philippe Bamberger. Digital Mammography / IWDM 2008, 504-509. Web SearchBibTeXDownload |
| 33 | Privacy-preserving cox regression for survival analysis. Shipeng Yu, Glenn Fung, Rómer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, Philippe Lambin. KDD 2008, 1034-1042. Web SearchBibTeXDownload |
| 32 | Rule Extraction from Linear Support Vector Machines via Mathematical Programming. Glenn Fung, Sathyakama Sandilya, R. Bharat Rao. Rule Extraction from Support Vector Machines 2008, 83-107. Web SearchBibTeXDownload |
| 31 | On the Dangers of Cross-Validation. An Experimental Evaluation. R. Bharat Rao, Glenn Fung. SDM 2008, 588-596. Web SearchBibTeXDownload |
| 30 | Privacy-preserving classification of vertically partitioned data via random kernels. Olvi L. Mangasarian, Edward W. Wild, Glenn Fung. TKDD (2) (2008). Web SearchBibTeXDownload |
| 2007 |
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| 29 | Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches. Mark W. Schmidt, Glenn Fung, Rómer Rosales. ECML 2007, 286-297. Web SearchBibTeXDownload |
| 28 | Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer. Glenn Fung, Renaud. Seigneuric, Sriram Krishnan, R. Bharat Rao, Brad G. Wouters, Philippe Lambin. ICMLA 2007, 482-487. Web SearchBibTeXDownload |
| 27 | Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks. Maleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran. IJCAI 2007, 519-525. Web SearchBibTeXDownload |
| 26 | Feature Selection and Kernel Design via Linear Programming. Glenn Fung, Rómer Rosales, R. Bharat Rao. IJCAI 2007, 786-791. Web SearchBibTeXDownload |
| 25 | LungCAD: a clinically approved, machine learning system for lung cancer detection. R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salganicoff, Nancy Obuchowski, David P. Naidich. KDD 2007, 1033-1037. Web SearchBibTeXDownload |
| 24 | SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information. Glenn Fung, Jonathan Stoeckel. Knowl. Inf. Syst. (11): 243-258 (2007). Web SearchBibTeXDownload |
| 2006 |
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| 23 | Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcifications. Glenn Fung, Balaji Krishnapuram, Nicolas Merlet, Eli Ratner, Philippe Bamberger, Jonathan Stoeckel, R. Bharat Rao. Digital Mammography / IWDM 2006, 84-91. Web SearchBibTeXDownload |
| 22 | Batch Classification with Applications in Computer Aided Diagnosis. Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao. ECML 2006, 449-460. Web SearchBibTeXDownload |
| 21 | Computer aided detection via asymmetric cascade of sparse hyperplane classifiers. Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Toshiro Kubota, Glenn Fung, Marcos Salganicoff, R. Bharat Rao. KDD 2006, 837-844. Web SearchBibTeXDownload |
| 20 | Learning sparse metrics via linear programming. Rómer Rosales, Glenn Fung. KDD 2006, 367-373. Web SearchBibTeXDownload |
| 19 | Multiple Instance Learning for Computer Aided Diagnosis. Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao. NIPS 2006, 425-432. Web SearchBibTeXDownload |
| 2005 |
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| 18 | Semi-Supervised Mixture of Kernels via LPBoost Methods. Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao. ICDM 2005, 569-572. Web SearchBibTeXDownload |
| 17 | SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information. Jonathan Stoeckel, Glenn Fung. ICDM 2005, 410-417. Web SearchBibTeXDownload |
| 16 | Sparse classifiers for Automated HeartWall Motion Abnormality Detection. Glenn Fung, Maleeha Qazi, Sriram Krishnan, Jinbo Bi, R. Bharat Rao, A. Katz. ICMLA 2005, 194-200. Web SearchBibTeXDownload |
| 15 | Rule extraction from linear support vector machines. Glenn Fung, Sathyakama Sandilya, R. Bharat Rao. KDD 2005, 32-40. Web SearchBibTeXDownload |
| 14 | Multicategory Proximal Support Vector Machine Classifiers. Glenn Fung, Olvi L. Mangasarian. Machine Learning (59): 77-97 (2005). Web SearchBibTeXDownload |
| 13 | Learning Rankings via Convex Hull Separation. Glenn Fung, Rómer Rosales, Balaji Krishnapuram. NIPS 2005. Web SearchBibTeXDownload |
| 12 | Sparse Fisher Discriminant Analysis for Computer Aided Detection. Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao. SDM 2005. Web SearchBibTeX |
| 2004 |
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| 11 | A methodology for training and validating a CAD system and potential pitfalls. Murat Dundar, Glenn Fung, Luca Bogoni, Michael Macari, A. Megibow, R. Bharat Rao. CARS 2004, 1010-1014. Web SearchBibTeX |
| 10 | CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening. 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. CARS 2004, 978-982. Web SearchBibTeX |
| 9 | A fast iterative algorithm for fisher discriminant using heterogeneous kernels. Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao. ICML 2004. Web SearchBibTeXDownload |
| 2003 |
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| 8 | Knowledge-Based Nonlinear Kernel Classifiers. Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik. COLT 2003, 102-113. Web SearchBibTeXDownload |
| 7 | Finite Newton method for Lagrangian support vector machine classification. Glenn Fung, Olvi L. Mangasarian. Neurocomputing (55): 39-55 (2003). Web SearchBibTeXDownload |
| 6 | The disputed federalist papers: SVM feature selection via concave minimization. Glenn Fung. Richard Tapia Celebration of Diversity in Computing Conference 2003, 42-46. Web SearchBibTeXDownload |
| 2002 |
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| 5 | Minimal Kernel Classifiers. Glenn Fung, Olvi L. Mangasarian, Alex J. Smola. Journal of Machine Learning Research (3): 303-321 (2002). Web SearchBibTeXDownload |
| 4 | Knowledge-Based Support Vector Machine Classifiers. Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik. NIPS 2002, 521-528. Web SearchBibTeXDownload |
| 3 | Incremental Support Vector Machine Classification. Glenn Fung, Olvi L. Mangasarian. SDM 2002. Web SearchBibTeXDownload |
| 2001 |
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| 2 | Proximal support vector machine classifiers. Glenn Fung, Olvi L. Mangasarian. KDD 2001, 77-86. Web SearchBibTeXDownload |
| 2000 |
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| 1 | Data selection for support vector machine classifiers. Glenn Fung, Olvi L. Mangasarian. KDD 2000, 64-70. Web SearchBibTeXDownload |
