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Jinbo Bi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu
    Efficient model selection for regularized linear discriminant analysis. [Citation Graph (0, 0)][DBLP]
    CIKM, 2006, pp:532-539 [Conf]
  2. Jinbo Bi, Vladimir Vapnik
    Learning with Rigorous Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:243-257 [Conf]
  3. Jinbo Bi, Yixin Chen, James Ze Wang
    A Sparse Support Vector Machine Approach to Region-Based Image Categorization. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2005, pp:1121-1128 [Conf]
  4. 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]
  5. Jinbo Bi
    Multi-Objective Programming in SVMs. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:35-42 [Conf]
  6. Jinbo Bi, Kristin P. Bennett
    Regression Error Characteristic Curves. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:43-50 [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. Kai Yu, Jinbo Bi, Volker Tresp
    Active learning via transductive experimental design. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:1081-1088 [Conf]
  9. Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao
    Learning Classifiers When the Training Data Is Not IID. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:756-761 [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. Jinbo Bi, Tong Zhang, Kristin P. Bennett
    Column-generation boosting methods for mixture of kernels. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:521-526 [Conf]
  12. Jinbo Bi, Tong Zhang
    Support Vector Classification with Input Data Uncertainty. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  13. 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]
  14. Jinbo Bi, Kristin P. Bennett
    A geometric approach to support vector regression. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:55, n:1-2, pp:79-108 [Journal]
  15. Minghu Song, Curt M. Breneman, Jinbo Bi, Nagamani Sukumar, Kristin P. Bennett, Steven M. Cramer, Nihal Tugcu
    Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 2002, v:42, n:6, pp:1347-1357 [Journal]
  16. Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song
    Dimensionality Reduction via Sparse Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:3, n:, pp:1229-1243 [Journal]
  17. Yixin Chen, Jinbo Bi, James Ze Wang
    MILES: Multiple-Instance Learning via Embedded Instance Selection. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:12, pp:1931-1947 [Journal]
  18. Terran Lane, Bharat Rao, Jinbo Bi, Jianming Liang, Marcos Salganicoff
    On the medical frontier: the 2006 KDD Cup competition and results. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2006, v:8, n:2, pp:39-46 [Journal]
  19. Jinbo Bi, Tao Xiong
    A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:522-527 [Conf]
  20. Jinbo Bi, Jianming Liang
    Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  21. Murat Dundar, Jinbo Bi
    Joint Optimization of Cascaded Classifiers for Computer Aided Detection. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  22. Jianming Liang, Jinbo Bi
    Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography. [Citation Graph (0, 0)][DBLP]
    IPMI, 2007, pp:630-641 [Conf]
  23. 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]
  24. Tao Xiong, Jinbo Bi, Bharat Rao, Vladimir Cherkassky
    Probabilistic Joint Feature Selection for Multi-task Learning. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]

  25. A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis. [Citation Graph (, )][DBLP]


  26. Bayesian multiple instance learning: automatic feature selection and inductive transfer. [Citation Graph (, )][DBLP]


  27. Automatic medical coding of patient records via weighted ridge regression. [Citation Graph (, )][DBLP]


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


  29. A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings. [Citation Graph (, )][DBLP]


  30. An Improved Multi-task Learning Approach with Applications in Medical Diagnosis. [Citation Graph (, )][DBLP]


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