Knowledge-Based Equation Discovery in Engineering Domains. - R. Bharat Rao; Stephen C. Y. Lu; Robert E. Stepp (ML, 1991)

Learning Engineering Models with the Minimum Description Length Principle. - R. Bharat Rao; Stephen C. Y. Lu (AAAI, 1992)

Building Models to Support Synthesis in Early Stage Product Design. - R. Bharat Rao; Stephen C. Y. Lu (AAAI, 1993)

Data Mining of Subjective Agricultural Data. - R. Bharat Rao; Thomas B. Voigt; Thomas W. Fermanian (ICML, 1993)

Inverse Engineering: A Machine Learning Approach to Support Engineering Synthesis - R. Bharat Rao (1993)

For Every Generalization Action, Is There Really an Equal and Opposite Reaction? - R. Bharat Rao; Diana F. Gordon; William M. Spears (ICML, 1995)

CARDWATCH: a neural network based database mining system for credit card fraud detection. - Emin Aleskerov; Bernd Freisleben; Bharat Rao (CIFEr, 1997)

Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers. - R. Bharat Rao; Scott Rickard; Frans Coetzee (KDD, 1998)

Competing in Online Markets: Financial Services as a Case in Point. - Louis Minakakis; Bharat Rao (Electron. Mark., 1999)

Deploying an effective e-tailing strategy. - Bharat Rao (Electron. Mark., 1999)

Building a World Class Logistics, Distribution and Electronic Commerce Infrastructure. - Bharat Rao; Ziv Navoth; Mel Horwitch (Electron. Mark., 1999)

Browsers or Buyers in Cyberspace? An Investigation of Factors Influencing Electronic Exchange. - Vanitha Swaminathan; Elzbieta Lepkowska-White; Bharat Rao (J. Comput. Mediat. Commun., 1999)

Machine learning for sub-population assessment: evaluating the C-section rate of different physician practices. - Rich Caruana; Radu Stefan Niculescu; R. Bharat Rao; Cynthia Simms (AMIA, 2002)

Mining time-dependent patient outcomes from hospital patient records. - R. Bharat Rao; Sathyakama Sandilya; Radu Stefan Niculescu; Colin Germond; Arun Goel (AMIA, 2002)

Preface to the Special Section on Mobile Commerce. - Bharat Rao (Electron. Mark., 2002)

Evaluating the C-section Rate of Different Physician Practices: Using Machine Learning to Model Standard Practice. - Rich Caruana; Radu Stefan Niculescu; R. Bharat Rao; Cynthia Simms (AMIA, 2003)

Secure De-identification and Re-identification. - William Landi; R. Bharat Rao (AMIA, 2003)

Clinical and financial outcomes analysis with existing hospital patient records. - R. Bharat Rao; Sathyakama Sandilya; Radu Stefan Niculescu; Colin Germond; Harsha Rao (KDD, 2003)

Evolution of mobile location-based services. - Bharat Rao; Louis Minakakis (Commun. ACM, 2003)

Wireless Broadband Networks: The U.S. Experience. - Bharat Rao; Mihir A. Parikh (Int. J. Electron. Commer., 2003)

CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening. - 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; et al. (CARS, 2004)

A methodology for training and validating a CAD system and potential pitfalls. - Murat Dundar; Glenn Fung; Luca Bogoni; Michael Macari; A. Megibow; R. Bharat Rao (CARS, 2004)

Assessing the Business Impact of Location Based Services. - Bharat Rao; Louis Minakakis (HICSS, 2004)

A fast iterative algorithm for fisher discriminant using heterogeneous kernels. - Glenn Fung; Murat Dundar; Jinbo Bi; R. Bharat Rao (ICML, 2004)

Real-Time Multi-model Tracking of Myocardium in Echocardiography Using Robust Information Fusion. - Bogdan Georgescu; Xiang Sean Zhou; Dorin Comaniciu; R. Bharat Rao (MICCAI (2), 2004)

Continuous-Time Bayesian Modeling of Clinical Data. - Sathyakama Sandilya; R. Bharat Rao (SDM, 2004)

Semi-Supervised Mixture of Kernels via LPBoost Methods. - Jinbo Bi; Glenn Fung; Murat Dundar; R. Bharat Rao (ICDM, 2005)

Sparse classifiers for Automated HeartWall Motion Abnormality Detection. - Glenn Fung; Maleeha Qazi; Sriram Krishnan; Jinbo Bi; R. Bharat Rao; A. Katz (ICMLA, 2005)

Rule extraction from linear support vector machines. - Glenn Fung; Sathyakama Sandilya; R. Bharat Rao (KDD, 2005)

Sparse Fisher Discriminant Analysis for Computer Aided Detection. - Murat Dundar; Glenn Fung; Jinbo Bi; Sathyakama Sandilya; R. Bharat Rao (SDM, 2005)

Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models. - Radu Stefan Niculescu; Tom M. Mitchell; R. Bharat Rao (SDM, 2005)

Batch Classification with Applications in Computer Aided Diagnosis. - Volkan Vural; Glenn Fung; Balaji Krishnapuram; Jennifer G. Dy; R. Bharat Rao (ECML, 2006)

From Macedonia to Mauritius: New Trajectories in Wireless Broadband Development. - Bojan Angelov; Bharat Rao (ICMB, 2006)

Computer aided detection via asymmetric cascade of sparse hyperplane classifiers. - Jinbo Bi; Senthil Periaswamy; Kazunori Okada; Toshiro Kubota; Glenn Fung; Marcos Salganicoff; R. Bharat Rao (KDD, 2006)

Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcifications. - Glenn Fung; Balaji Krishnapuram; Nicolas Merlet; Eli Ratner; Philippe Bamberger; Jonathan Stoeckel; R. Bharat Rao (Digital Mammography / IWDM, 2006)

Multiple Instance Learning for Computer Aided Diagnosis. - Glenn Fung; Murat Dundar; Balaji Krishnapuram; R. Bharat Rao (NIPS, 2006)

Wireless commons perils in the common good. - Jan Damsgaard; Mihir A. Parikh; Bharat Rao (Commun. ACM, 2006)

Bayesian Network Learning with Parameter Constraints. - Radu Stefan Niculescu; Tom M. Mitchell; R. Bharat Rao (J. Mach. Learn. Res., 2006)

On the medical frontier: the 2006 KDD Cup competition and results. - Terran Lane; R. Bharat Rao; Jinbo Bi; Jianming Liang; Marcos Salganicoff (SIGKDD Explor., 2006)

Data mining for improved cardiac care. - R. Bharat Rao; Sriram Krishnan; Radu Stefan Niculescu (SIGKDD Explor., 2006)

Modeling the fMRI Signal via Hierarchical Clustered Hidden Process Models. - Radu Stefan Niculescu; Tom M. Mitchell; R. Bharat Rao (AMIA, 2007)

Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer. - Glenn Fung; Renaud Seigneuric; Sriram Krishnan; R. Bharat Rao; Brad G. Wouters; Philippe Lambin (ICMLA, 2007)

Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text. - Rómer Rosales; Praveen Krishnamurthy; R. Bharat Rao (ICMLA, 2007)

Automatic medical coding of patient records via weighted ridge regression. - Jian-Wu Xu; Shipeng Yu; Jinbo Bi; Lucian Vlad Lita; Radu Stefan Niculescu; R. Bharat Rao (ICMLA, 2007)

Learning Classifiers When the Training Data Is Not IID. - Murat Dundar; Balaji Krishnapuram; Jinbo Bi; R. Bharat Rao (IJCAI, 2007)

Feature Selection and Kernel Design via Linear Programming. - Glenn Fung; Rómer Rosales; R. Bharat Rao (IJCAI, 2007)

A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints. - Radu Stefan Niculescu; Tom M. Mitchell; R. Bharat Rao (IJCAI, 2007)

Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks. - Maleeha Qazi; Glenn Fung; Sriram Krishnan; Rómer Rosales; Harald Steck; R. Bharat Rao; Don Poldermans; Dhanalakshmi Chandrasekaran (IJCAI, 2007)

LungCAD: a clinically approved, machine learning system for lung cancer detection. - R. Bharat Rao; Jinbo Bi; Glenn Fung; Marcos Salganicoff; Nancy Obuchowski; David P. Naidich (KDD, 2007)

Training a CAD classifier with correlated data. - Murat Dundar; Balaji Krishnapuram; Matthias Wolf 001; Sarang Lakare; Luca Bogoni; Jinbo Bi; R. Bharat Rao (Computer-Aided Diagnosis, 2007)

Bayesian Co-Training. - Shipeng Yu; Balaji Krishnapuram; Rómer Rosales; Harald Steck; R. Bharat Rao (NIPS, 2007)

Federated Ontology Search for the Medical Domain. - Vasco Pedro; Lucian Vlad Lita; Radu Stefan Niculescu; Bharat Rao; Jaime G. Carbonell (OTM Workshops (1), 2007)

Probabilistic Joint Feature Selection for Multi-task Learning. - Tao Xiong; Jinbo Bi; R. Bharat Rao; Vladimir Cherkassky (SDM, 2007)

Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection. - Glenn Fung; Sriram Krishnan; R. Bharat Rao; Hui Chen (AAAI, 2008)

Bayesian multiple instance learning: automatic feature selection and inductive transfer. - Vikas C. Raykar; Balaji Krishnapuram; Jinbo Bi; Murat Dundar; R. Bharat Rao (ICML, 2008)

Privacy-preserving cox regression for survival analysis. - Shipeng Yu; Glenn Fung; Rómer Rosales; Sriram Krishnan; R. Bharat Rao; Cary Dehing-Oberije; Philippe Lambin (KDD, 2008)

Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography. - Balaji Krishnapuram; Jonathan Stoeckel; Vikas C. Raykar; R. Bharat Rao; Philippe Bamberger; Eli Ratner; Nicolas Merlet; Inna Stainvas; Menahem Abramov; Alexandra Manevitch (Digital Mammography / IWDM, 2008)

An Improved Multi-task Learning Approach with Applications in Medical Diagnosis. - Jinbo Bi; Tao Xiong; Shipeng Yu; Murat Dundar; R. Bharat Rao (ECML/PKDD (1), 2008)

On the Dangers of Cross-Validation. An Experimental Evaluation. - R. Bharat Rao; Glenn Fung (SDM, 2008)

Technology-facilitated 'Give According to Your Abilities, Receive According to Your Needs'. - Oded Nov; Bharat Rao (Commun. ACM, 2008)

Fast semi-supervised SVM classifiers using a priori metric information. - Volkan Vural; Glenn Fung; Jennifer G. Dy; Bharat Rao (Optim. Methods Softw., 2008)

KDD cup 2008 and the workshop on mining medical data. - R. Bharat Rao; Oksana Yakhnenko; Balaji Krishnapuram (SIGKDD Explor., 2008)

Multiple-Instance Learning Algorithms for Computer-Aided Detection. - Murat Dundar; Glenn Fung; Balaji Krishnapuram; R. Bharat Rao (IEEE Trans. Biomed. Eng., 2008)

Rule Extraction from Linear Support Vector Machines via Mathematical Programming. - Glenn Fung; Sathyakama Sandilya; R. Bharat Rao (Rule Extraction from Support Vector Machines, 2008)

Data-Efficient Information-Theoretic Test Selection. - Marianne Mueller; Rómer Rosales; Harald Steck; Sriram Krishnan; Bharat Rao; Stefan Kramer 001 (AIME, 2009)

Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis. - Marianne Mueller; Rómer Rosales; Harald Steck; Sriram Krishnan; Bharat Rao; Stefan Kramer 001 (IDA, 2009)

Using Local Dependencies within Batches to Improve Large Margin Classifiers. - Volkan Vural; Glenn Fung; Balaji Krishnapuram; Jennifer G. Dy; R. Bharat Rao (J. Mach. Learn. Res., 2009)

Active Sensing. - Shipeng Yu; Balaji Krishnapuram; Rómer Rosales; R. Bharat Rao (AISTATS, 2009)

UjU: SMS-based applications made easy. - Wei-Chih Lu; Matt Tierney; Jay Chen; Faiz Kazi; Alfredo Hubard; Jesus Garcia Pasquel; Lakshminarayanan Subramanian; Bharat Rao (ACM DEV, 2010)

Guest Editorial: Special Issue on impacting patient care by mining medical data. - Rómer Rosales; R. Bharat Rao (Data Min. Knowl. Discov., 2010)

Bayesian Co-Training. - Shipeng Yu; Balaji Krishnapuram; Rómer Rosales; R. Bharat Rao (J. Mach. Learn. Res., 2011)

Active Learning from Multiple Knowledge Sources. - Yan Yan 024; Rómer Rosales; Glenn Fung; Faisal Farooq; Bharat Rao; Jennifer G. Dy (AISTATS, 2012)

Knowledge discovery system for automated quality abstraction. - Faisal Farooq; Shipeng Yu; Balaji Krishnapuram; Bharat Rao (SIGHIT Rec., 2012)

Introduction to the special section on clinical data mining. - Shipeng Yu; Bharat Rao (SIGKDD Explor., 2012)

The role of medical data analytics in reducing health fraud and improving clinical and financial outcomes. - Bharat Rao (CBMS, 2013)

Innovation and Collaboration Patterns in Human-Computer Interaction Research. - Junius Gunaratne; Bharat Rao (HCI (1), 2016)

Protecting Sensitive Data through Federated Co-Training. - Amr Abourayya; Jens Kleesiek; Kanishka Rao; Erman Ayday; Bharat Rao; Geoffrey I. Webb; Michael Kamp (CoRR, 2023)

Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning. - Amr Abourayya; Jens Kleesiek; Kanishka Rao; Erman Ayday; Bharat Rao; Geoffrey I. Webb; Michael Kamp (AAAI, 2025)

Who Should I Listen To? Adaptive Collaboration in Personalized Federated Learning. - Amr Abourayya; Jens Kleesiek; Bharat Rao; Michael Kamp (CoRR, 2025)