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Balaji Krishnapuram: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. 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]
  3. Balaji Krishnapuram, Lawrence Carin
    Support Vector Machines for Improved Multiaspect Target Recognition Using the Fisher Scores of Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    JCIS, 2002, pp:354-357 [Conf]
  4. 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]
  5. Glenn Fung, Rómer Rosales, Balaji Krishnapuram
    Learning Rankings via Convex Hull Separation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  6. Balaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo
    On Semi-Supervised Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  7. Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink
    Joint classifier and feature optimization for cancer diagnosis using gene expression data. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2003, pp:167-175 [Conf]
  8. Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink
    Joint Classifier and Feature Optimization for Comprehensive Cancer Diagnosis Using Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2004, v:11, n:2/3, pp:227-242 [Journal]
  9. Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram
    Multi-Task Learning for Classification with Dirichlet Process Priors. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:35-63 [Journal]
  10. Shihao Ji, Balaji Krishnapuram, Lawrence Carin
    Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:4, pp:522-532 [Journal]
  11. Balaji Krishnapuram, Lawrence Carin, Mário A. T. Figueiredo, Alexander J. Hartemink
    Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:6, pp:957-968 [Journal]
  12. Balaji Krishnapuram, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo
    A Bayesian Approach to Joint Feature Selection and Classifier Design. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:9, pp:1105-1111 [Journal]
  13. David Williams, Xuejun Liao, Ya Xue, Lawrence Carin, Balaji Krishnapuram
    On Classification with Incomplete Data. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:3, pp:427-436 [Journal]
  14. 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]

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


  16. Designing efficient cascaded classifiers: tradeoff between accuracy and cost. [Citation Graph (, )][DBLP]


  17. 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]


  18. Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography. [Citation Graph (, )][DBLP]


  19. On Ranking in Survival Analysis: Bounds on the Concordance Index. [Citation Graph (, )][DBLP]


  20. Bayesian Co-Training. [Citation Graph (, )][DBLP]


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