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R. Bharat Rao: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. R. Bharat Rao, Stephen C. Y. Lu
    Learning Engineering Models with the Minimum Description Length Principle. [Citation Graph (1, 0)][DBLP]
    AAAI, 1992, pp:717-722 [Conf]
  2. R. Bharat Rao, Stephen C. Y. Lu
    Building Models to Support Synthesis in Early Stage Product Design. [Citation Graph (0, 0)][DBLP]
    AAAI, 1993, pp:277-282 [Conf]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  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. R. Bharat Rao, Diana F. Gordon, William M. Spears
    For Every Generalization Action, Is There Really an Equal and Opposite Reaction? [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:471-479 [Conf]
  9. R. Bharat Rao, Stephen C. Y. Lu, Robert E. Stepp
    Knowledge-Based Equation Discovery in Engineering Domains. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:630-634 [Conf]
  10. R. Bharat Rao, Thomas B. Voigt, Thomas W. Fermanian
    Data Mining of Subjective Agricultural Data. [Citation Graph (0, 0)][DBLP]
    ICML, 1993, pp:244-251 [Conf]
  11. 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]
  12. Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
    A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:155-160 [Conf]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. R. Bharat Rao, Scott Rickard, Frans Coetzee
    Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers. [Citation Graph (0, 0)][DBLP]
    KDD, 1998, pp:319-323 [Conf]
  18. R. Bharat Rao, Sathyakama Sandilya, Radu Stefan Niculescu, Colin Germond, Harsha Rao
    Clinical and financial outcomes analysis with existing hospital patient records. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:416-425 [Conf]
  19. 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]
  20. Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu, R. Bharat Rao
    Real-Time Multi-model Tracking of Myocardium in Echocardiography Using Robust Information Fusion. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2004, pp:777-785 [Conf]
  21. 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]
  22. Sathyakama Sandilya, R. Bharat Rao
    Continuous-Time Bayesian Modeling of Clinical Data. [Citation Graph (0, 0)][DBLP]
    SDM, 2004, pp:- [Conf]
  23. Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
    Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  24. Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
    Bayesian Network Learning with Parameter Constraints. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1357-1383 [Journal]
  25. R. Bharat Rao, Sriram Krishnan, Radu Stefan Niculescu
    Data mining for improved cardiac care. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2006, v:8, n:1, pp:3-10 [Journal]
  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. 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]

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


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


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


  32. Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text. [Citation Graph (, )][DBLP]


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


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


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


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


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


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


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