R. Bharat Rao

Publication Activity (10 Years)

Years Active: 1991-2011
Publications (10 Years): 0

Publications

Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao
Bayesian Co-Training. J. Mach. Learn. Res. 12 (2011)
Rómer Rosales, R. Bharat Rao
Guest Editorial: Special Issue on impacting patient care by mining medical data. Data Min. Knowl. Discov. 20 (3) (2010)
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao
Active Sensing. AISTATS (2009)
Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao
Using Local Dependencies within Batches to Improve Large Margin Classifiers. J. Mach. Learn. Res. 10 (2009)
Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao
An Improved Multi-task Learning Approach with Applications in Medical Diagnosis. ECML/PKDD (1) (2008)
R. Bharat Rao, Oksana Yakhnenko, Balaji Krishnapuram
KDD cup 2008 and the workshop on mining medical data. SIGKDD Explor. 10 (2) (2008)
Glenn Fung, Sriram Krishnan, R. Bharat Rao, Hui Chen
Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection. AAAI (2008)
Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao
Bayesian multiple instance learning: automatic feature selection and inductive transfer. ICML (2008)
R. Bharat Rao, Glenn Fung
On the Dangers of Cross-Validation. An Experimental Evaluation. SDM (2008)
Shipeng Yu, Glenn Fung, Rómer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, Philippe Lambin
Privacy-preserving cox regression for survival analysis. KDD (2008)
Murat Dundar, Glenn Fung, Balaji Krishnapuram, R. Bharat Rao
Multiple-Instance Learning Algorithms for Computer-Aided Detection. IEEE Trans. Biomed. Eng. 55 (3) (2008)
Balaji Krishnapuram, Jonathan Stoeckel, Vikas C. Raykar, R. Bharat Rao, Philippe Bamberger, Eli Ratner, Nicolas Merlet, Inna Stainvas, Menahem Abramov, Alexandra Manevitch
Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography. Digital Mammography / IWDM (2008)
Jian-Wu Xu, Shipeng Yu, Jinbo Bi, Lucian Vlad Lita, Radu Stefan Niculescu, R. Bharat Rao
Automatic medical coding of patient records via weighted ridge regression. ICMLA (2007)
Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao
Learning Classifiers When the Training Data Is Not IID. IJCAI (2007)
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. IJCAI (2007)
Rómer Rosales, Praveen Krishnamurthy, R. Bharat Rao
Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text. ICMLA (2007)
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. KDD (2007)
Murat Dundar, Balaji Krishnapuram, Matthias Wolf, Sarang Lakare, Luca Bogoni, Jinbo Bi, R. Bharat Rao
Training a CAD classifier with correlated data. Medical Imaging: Computer-Aided Diagnosis (2007)
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, R. Bharat Rao
Bayesian Co-Training. NIPS (2007)
Glenn Fung, Rómer Rosales, R. Bharat Rao
Feature Selection and Kernel Design via Linear Programming. IJCAI (2007)
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints. IJCAI (2007)
Glenn Fung, Renaud Seigneuric, Sriram Krishnan, R. Bharat Rao, Brad G. Wouters, Philippe Lambin
Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer. ICMLA (2007)
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky
Probabilistic Joint Feature Selection for Multi-task Learning. SDM (2007)
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
Modeling the fMRI Signal via Hierarchical Clustered Hidden Process Models. AMIA (2007)
R. Bharat Rao, Sriram Krishnan, Radu Stefan Niculescu
Data mining for improved cardiac care. SIGKDD Explor. 8 (1) (2006)
Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao
Multiple Instance Learning for Computer Aided Diagnosis. NIPS (2006)
Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao
Batch Classification with Applications in Computer Aided Diagnosis. ECML (2006)
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
Bayesian Network Learning with Parameter Constraints. J. Mach. Learn. Res. 7 (2006)
Terran Lane, R. Bharat Rao, Jinbo Bi, Jianming Liang, Marcos Salganicoff
On the medical frontier: the 2006 KDD Cup competition and results. SIGKDD Explor. 8 (2) (2006)
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. Digital Mammography / IWDM (2006)
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. KDD (2006)
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM (2005)
Glenn Fung, Maleeha Qazi, Sriram Krishnan, Jinbo Bi, R. Bharat Rao, A. Katz
Sparse classifiers for Automated HeartWall Motion Abnormality Detection. ICMLA (2005)
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models. SDM (2005)
Glenn Fung, Sathyakama Sandilya, R. Bharat Rao
Rule extraction from linear support vector machines. KDD (2005)
Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao
Sparse Fisher Discriminant Analysis for Computer Aided Detection. SDM (2005)
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. CARS (2004)
Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu, R. Bharat Rao
Real-Time Multi-model Tracking of Myocardium in Echocardiography Using Robust Information Fusion. MICCAI (2) (2004)
Sathyakama Sandilya, R. Bharat Rao
Continuous-Time Bayesian Modeling of Clinical Data. SDM (2004)
Pascal Cathier, Senthil Periaswamy, Anna K. Jerebko, Murat Dundar, Jianming 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. CARS (2004)
Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao
A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML (2004)
William Landi, R. Bharat Rao
Secure De-identification and Re-identification. AMIA (2003)
Rich Caruana, Radu Stefan Niculescu, R. Bharat Rao, Cynthia Simms
Evaluating the C-section Rate of Different Physician Practices: Using Machine Learning to Model Standard Practice. AMIA (2003)
R. Bharat Rao, Sathyakama Sandilya, Radu Stefan Niculescu, Colin Germond, Harsha Rao
Clinical and financial outcomes analysis with existing hospital patient records. KDD (2003)
R. Bharat Rao, Sathyakama Sandilya, Radu Stefan Niculescu, Colin Germond, Arun Goel
Mining time-dependent patient outcomes from hospital patient records. AMIA (2002)
Rich Caruana, Radu Stefan Niculescu, R. Bharat Rao, Cynthia Simms
Machine learning for sub-population assessment: evaluating the C-section rate of different physician practices. AMIA (2002)
R. Bharat Rao, Scott Rickard, Frans Coetzee
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers. KDD (1998)
R. Bharat Rao, Diana F. Gordon, William M. Spears
For Every Generalization Action, Is There Really an Equal and Opposite Reaction? ICML (1995)
R. Bharat Rao, Stephen C. Y. Lu
Building Models to Support Synthesis in Early Stage Product Design. AAAI (1993)
R. Bharat Rao, Thomas B. Voigt, Thomas W. Fermanian
Data Mining of Subjective Agricultural Data. ICML (1993)
R. Bharat Rao, Stephen C. Y. Lu
Learning Engineering Models with the Minimum Description Length Principle. AAAI (1992)
R. Bharat Rao, Stephen C. Y. Lu, Robert E. Stepp
Knowledge-Based Equation Discovery in Engineering Domains. ML (1991)