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Glenn Fung: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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. [Citation Graph (0, 0)][DBLP]
    CARS, 2004, pp:978-982 [Conf]
  2. 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. [Citation Graph (0, 0)][DBLP]
    CARS, 2004, pp:1010-1014 [Conf]
  3. Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik
    Knowledge-Based Nonlinear Kernel Classifiers. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:102-113 [Conf]
  4. Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao
    Batch Classification with Applications in Computer Aided Diagnosis. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:449-460 [Conf]
  5. Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
    Semi-Supervised Mixture of Kernels via LPBoost Methods. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:569-572 [Conf]
  6. Jonathan Stoeckel, Glenn Fung
    SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:410-417 [Conf]
  7. Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao
    A fast iterative algorithm for fisher discriminant using heterogeneous kernels. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  8. Glenn Fung, Rómer Rosales, R. Bharat Rao
    Feature Selection and Kernel Design via Linear Programming. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:786-791 [Conf]
  9. 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. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:519-525 [Conf]
  10. 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. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:837-844 [Conf]
  11. Glenn Fung, Olvi L. Mangasarian
    Data selection for support vector machine classifiers. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:64-70 [Conf]
  12. Glenn Fung, Olvi L. Mangasarian
    Proximal support vector machine classifiers. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:77-86 [Conf]
  13. Glenn Fung, Sathyakama Sandilya, R. Bharat Rao
    Rule extraction from linear support vector machines. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:32-40 [Conf]
  14. Rómer Rosales, Glenn Fung
    Learning sparse metrics via linear programming. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:367-373 [Conf]
  15. 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. [Citation Graph (0, 0)][DBLP]
    Digital Mammography / IWDM, 2006, pp:84-91 [Conf]
  16. Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik
    Knowledge-Based Support Vector Machine Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:521-528 [Conf]
  17. Glenn Fung, Rómer Rosales, Balaji Krishnapuram
    Learning Rankings via Convex Hull Separation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  18. Mehmet Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao
    Sparse Fisher Discriminant Analysis for Computer Aided Detection. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  19. Glenn Fung, Olvi L. Mangasarian
    Incremental Support Vector Machine Classification. [Citation Graph (0, 0)][DBLP]
    SDM, 2002, pp:- [Conf]
  20. Glenn Fung
    The disputed federalist papers: SVM feature selection via concave minimization. [Citation Graph (0, 0)][DBLP]
    Richard Tapia Celebration of Diversity in Computing Conference, 2003, pp:42-46 [Conf]
  21. Glenn Fung, Olvi L. Mangasarian
    Finite Newton method for Lagrangian support vector machine classification. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:55, n:1-2, pp:39-55 [Journal]
  22. Glenn Fung, Olvi L. Mangasarian, Alex J. Smola
    Minimal Kernel Classifiers. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:303-321 [Journal]
  23. Glenn Fung, Jonathan Stoeckel
    SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2007, v:11, n:2, pp:243-258 [Journal]
  24. Glenn Fung, Olvi L. Mangasarian
    Multicategory Proximal Support Vector Machine Classifiers. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:59, n:1-2, pp:77-97 [Journal]
  25. Mark Schmidt, Glenn Fung, Rómer Rosales
    Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:286-297 [Conf]
  26. 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. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:1033-1037 [Conf]
  27. Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao
    Multiple Instance Learning for Computer Aided Diagnosis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:425-432 [Conf]

  28. Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection. [Citation Graph (, )][DBLP]

  29. Structure learning in random fields for heart motion abnormality detection. [Citation Graph (, )][DBLP]

  30. From Transformation-Based Dimensionality Reduction to Feature Selection. [Citation Graph (, )][DBLP]

  31. Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer. [Citation Graph (, )][DBLP]

  32. Sparse classifiers for Automated HeartWall Motion Abnormality Detection. [Citation Graph (, )][DBLP]

  33. Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data. [Citation Graph (, )][DBLP]

  34. Multi-Class Classifiers and their Underlying Shared Structure. [Citation Graph (, )][DBLP]

  35. Privacy-preserving cox regression for survival analysis. [Citation Graph (, )][DBLP]

  36. Medical coding classification by leveraging inter-code relationships. [Citation Graph (, )][DBLP]

  37. 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?. [Citation Graph (, )][DBLP]

  38. Optimizing the CAD Process for Detecting Mammographic Lesions by a New Generation Algorithm Using Linear Classifiers and a Gradient Based Approach. [Citation Graph (, )][DBLP]

  39. On the Dangers of Cross-Validation. An Experimental Evaluation. [Citation Graph (, )][DBLP]

  40. Convex Principal Feature Selection. [Citation Graph (, )][DBLP]

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