R. Bharat Rao - RankMe

54 papers A* 18A 6C 4Misc 5Journal 8Unranked 11

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