R. Bharat Rao - researchr alias

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Viewing Publication 1 - 53 from 53

2011

Bayesian Co-TrainingShipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao. jmlr, 12:2649-2680, 2011. [doi]

2010

Guest Editorial: Special Issue on impacting patient care by mining medical dataRómer Rosales, R. Bharat Rao. datamine, 20(3):325-327, 2010. [doi]

2009

Using Local Dependencies within Batches to Improve Large Margin ClassifiersVolkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao. jmlr, 10:183-206, 2009. [doi]

Active SensingShipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao. jmlr, 5:639-646, 2009. [doi]

2008

An Improved Multi-task Learning Approach with Applications in Medical DiagnosisJinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao. pkdd 2008: 117-132 [doi]

Multiple-Instance Learning Algorithms for Computer-Aided DetectionMurat Dundar, Glenn Fung, Balaji Krishnapuram, R. Bharat Rao. tbe, 55(3):1015-1021, 2008. [doi]

Rule Extraction from Linear Support Vector Machines via Mathematical ProgrammingGlenn Fung, Sathyakama Sandilya, R. Bharat Rao. In Joachim Diederich, editor, Rule Extraction from Support Vector Machines. Volume 80 of Studies in Computational Intelligence, pages 83-107, Springer, 2008. [doi]

Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality DetectionGlenn Fung, Sriram Krishnan, R. Bharat Rao, Hui Chen. AAAI 2008: 1663-1670

Multiple-Instance Learning Improves CAD Detection of Masses in Digital MammographyBalaji Krishnapuram, Jonathan Stoeckel, Vikas C. Raykar, R. Bharat Rao, Philippe Bamberger, Eli Ratner, Nicolas Merlet, Inna Stainvas, Menahem Abramov, Alexandra Manevitch. mammo 2008: 350-357 [doi]

KDD cup 2008 and the workshop on mining medical dataR. Bharat Rao, Oksana Yakhnenko, Balaji Krishnapuram. sigkdd, 10(2):34-38, 2008. [doi]

On the Dangers of Cross-Validation. An Experimental EvaluationR. Bharat Rao, Glenn Fung. sdm 2008: 588-596 [doi]

Bayesian multiple instance learning: automatic feature selection and inductive transferVikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao. icml 2008: 808-815 [doi]

Privacy-preserving cox regression for survival analysisShipeng Yu, Glenn Fung, Rómer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, Philippe Lambin. kdd 2008: 1034-1042 [doi]

2007

Learning Classifiers When the Training Data Is Not IIDMurat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao. IJCAI 2007: 756-761 [doi]

Training a CAD classifier with correlated dataMurat Dundar, Balaji Krishnapuram, Matthias Wolf 0001, Sarang Lakare, Luca Bogoni, Jinbo Bi, R. Bharat Rao. micad 2007: [doi]

Feature Selection and Kernel Design via Linear ProgrammingGlenn Fung, Rómer Rosales, R. Bharat Rao. IJCAI 2007: 786-791 [doi]

Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in CancerGlenn Fung, Renaud. Seigneuric, Sriram Krishnan, R. Bharat Rao, Brad G. Wouters, Philippe Lambin. icmla 2008: 482-487 [doi]

Modeling the fMRI Signal via Hierarchical Clustered Hidden Process ModelsRadu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao. amia 2007: [doi]

A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality ConstraintsRadu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao. IJCAI 2007: 155-160 [doi]

Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian NetworksMaleeha Qazi, Glenn Fung, Sriram Krishnan, Rómer Rosales, Harald Steck, R. Bharat Rao, Don Poldermans, Dhanalakshmi Chandrasekaran. IJCAI 2007: 519-525 [doi]

LungCAD: a clinically approved, machine learning system for lung cancer detectionR. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salganicoff, Nancy Obuchowski, David P. Naidich. kdd 2007: 1033-1037 [doi]

Semi-Supervised Active Learning for Modeling Medical Concepts from Free TextRÃ³mer Rosales, Praveen Krishnamurthy, R. Bharat Rao. icmla 2008: 530-536 [doi]

Probabilistic Joint Feature Selection for Multi-task LearningTao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky. sdm 2007: 332-342 [doi]

Automatic medical coding of patient records via weighted ridge regressionJian-Wu Xu, Shipeng Yu, Jinbo Bi, Lucian Vlad Lita, Radu Stefan Niculescu, R. Bharat Rao. icmla 2008: 260-265 [doi]

Bayesian Co-TrainingShipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, R. Bharat Rao. nips 2008: 1665-1672 [doi]

2006

Computer aided detection via asymmetric cascade of sparse hyperplane classifiersJinbo Bi, Senthil Periaswamy, Kazunori Okada, Toshiro Kubota, Glenn Fung, Marcos Salganicoff, R. Bharat Rao. kdd 2006: 837-844 [doi]

Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcificationsGlenn Fung, Balaji Krishnapuram, Nicolas Merlet, Eli Ratner, Philippe Bamberger, Jonathan Stoeckel, R. Bharat Rao. mammo 2006: 84-91 [doi]

Multiple Instance Learning for Computer Aided DiagnosisGlenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao. nips 2007: 425-432 [doi]

On the medical frontier: the 2006 KDD Cup competition and resultsTerran Lane, R. Bharat Rao, Jinbo Bi, Jianming Liang, Marcos Salganicoff. sigkdd, 8(2):39-46, 2006. [doi]

Bayesian Network Learning with Parameter ConstraintsRadu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao. jmlr, 7:1357-1383, 2006. [doi]

Data mining for improved cardiac careR. Bharat Rao, Sriram Krishnan, Radu Stefan Niculescu. sigkdd, 8(1):3-10, 2006. [doi]

Batch Classification with Applications in Computer Aided DiagnosisVolkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao. ecml 2006: 449-460 [doi]

2005

2004

CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screeningPascal 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. cars 2004: 978-982

A methodology for training and validating a CAD system and potential pitfallsMurat Dundar, Glenn Fung, Luca Bogoni, Michael Macari, A. Megibow, R. Bharat Rao. cars 2004: 1010-1014

A fast iterative algorithm for fisher discriminant using heterogeneous kernelsGlenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao. icml 2004: [doi]

Real-Time Multi-model Tracking of Myocardium in Echocardiography Using Robust Information FusionBogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu, R. Bharat Rao. miccai 2004: 777-785 [doi]

Continuous-Time Bayesian Modeling of Clinical DataSathyakama Sandilya, R. Bharat Rao. sdm 2004: 512-516 [doi]

2003

2002

Machine learning for sub-population assessment: evaluating the C-section rate of different physician practicesRich Caruana, Radu Stefan Niculescu, R. Bharat Rao, Cynthia Simms. amia 2002: [doi]

Mining time-dependent patient outcomes from hospital patient recordsR. Bharat Rao, Sathyakama Sandilya, Radu Stefan Niculescu, Colin Germond, Arun Goel. amia 2002: [doi]

1998

Time Series Forecasting from High-Dimensional Data with Multiple Adaptive LayersR. Bharat Rao, Scott Rickard, Frans Coetzee. kdd 1998: 319-323

1995

For Every Generalization Action, Is There Really an Equal and Opposite Reaction?R. Bharat Rao, Diana F. Gordon, William M. Spears. icml 1995: 471-479

1993

Data Mining of Subjective Agricultural DataR. Bharat Rao, Thomas B. Voigt, Thomas W. Fermanian. icml 1993: 244-251

Building Models to Support Synthesis in Early Stage Product DesignR. Bharat Rao, Stephen C. Y. Lu. AAAI 1993: 277-282

Inverse Engineering: A Machine Learning Approach to Support Engineering SynthesisR. Bharat Rao. PhD thesis, University of Illinois Urbana-Champaign, USA, 1993. [doi]

1992

Learning Engineering Models with the Minimum Description Length PrincipleR. Bharat Rao, Stephen C. Y. Lu. AAAI 1992: 717-722

1991

Knowledge-Based Equation Discovery in Engineering DomainsR. Bharat Rao, Stephen C. Y. Lu, Robert E. Stepp. icml 1991: 630-634

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1991

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