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2020 – today
- 2023
[i1]Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoffrey I. Webb, Michael Kamp:
Protecting Sensitive Data through Federated Co-Training. CoRR abs/2310.05696 (2023)
2010 – 2019
- 2016
- [c54]Junius Gunaratne, Bharat Rao:
Innovation and Collaboration Patterns in Human-Computer Interaction Research. HCI (1) 2016: 34-45 - 2013
- [c53]Bharat Rao:
The role of medical data analytics in reducing health fraud and improving clinical and financial outcomes. CBMS 2013: 3 - 2012
- [j20]Faisal Farooq, Shipeng Yu, Balaji Krishnapuram, Bharat Rao:
Knowledge discovery system for automated quality abstraction. SIGHIT Rec. 2(1): 17 (2012) - [j19]Shipeng Yu, Bharat Rao:
Introduction to the special section on clinical data mining. SIGKDD Explor. 14(1): 1-3 (2012) - [c52]Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer G. Dy:
Active Learning from Multiple Knowledge Sources. AISTATS 2012: 1350-1357 - 2011
- [j18]Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao:
Bayesian Co-Training. J. Mach. Learn. Res. 12: 2649-2680 (2011) - 2010
- [j17]Rómer Rosales, R. Bharat Rao:
Guest Editorial: Special Issue on impacting patient care by mining medical data. Data Min. Knowl. Discov. 20(3): 325-327 (2010) - [c51]Wei-Chih Lu, Matt Tierney, Jay Chen, Faiz Kazi, Alfredo Hubard, Jesus Garcia Pasquel, Lakshminarayanan Subramanian, Bharat Rao:
UjU: SMS-based applications made easy. ACM DEV 2010: 16 - [e1]Bharat Rao, Balaji Krishnapuram, Andrew Tomkins, Qiang Yang:
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010. ACM 2010, ISBN 978-1-4503-0055-1 [contents]
2000 – 2009
- 2009
- [j16]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: 183-206 (2009) - [c50]Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer:
Data-Efficient Information-Theoretic Test Selection. AIME 2009: 410-415 - [c49]Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer:
Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis. IDA 2009: 119-130 - [c48]Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao:
Active Sensing. AISTATS 2009: 639-646 - 2008
- [j15]Oded Nov, Bharat Rao:
Technology-facilitated 'Give According to Your Abilities, Receive According to Your Needs'. Commun. ACM 51(5): 83-87 (2008) - [j14]Volkan Vural, Glenn Fung, Jennifer G. Dy, Bharat Rao:
Fast semi-supervised SVM classifiers using a priori metric information. Optim. Methods Softw. 23(4): 521-532 (2008) - [j13]R. Bharat Rao, Oksana Yakhnenko, Balaji Krishnapuram:
KDD cup 2008 and the workshop on mining medical data. SIGKDD Explor. 10(2): 34-38 (2008) - [j12]Murat Dundar, Glenn Fung, Balaji Krishnapuram, R. Bharat Rao:
Multiple-Instance Learning Algorithms for Computer-Aided Detection. IEEE Trans. Biomed. Eng. 55(3): 1015-1021 (2008) - [c47]Glenn Fung, Sriram Krishnan, R. Bharat Rao, Hui Chen:
Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection. AAAI 2008: 1663-1670 - [c46]Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao:
Bayesian multiple instance learning: automatic feature selection and inductive transfer. ICML 2008: 808-815 - [c45]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: 1034-1042 - [c44]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: 350-357 - [c43]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: 117-132 - [c42]R. Bharat Rao, Glenn Fung:
On the Dangers of Cross-Validation. An Experimental Evaluation. SDM 2008: 588-596 - [p1]Glenn Fung, Sathyakama Sandilya, R. Bharat Rao:
Rule Extraction from Linear Support Vector Machines via Mathematical Programming. Rule Extraction from Support Vector Machines 2008: 83-107 - 2007
- [c41]Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao:
Modeling the fMRI Signal via Hierarchical Clustered Hidden Process Models. AMIA 2007 - [c40]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: 260-265 - [c39]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: 482-487 - [c38]Rómer Rosales, Praveen Krishnamurthy, R. Bharat Rao:
Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text. ICMLA 2007: 530-536 - [c37]Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao:
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints. IJCAI 2007: 155-160 - [c36]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: 519-525 - [c35]Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao:
Learning Classifiers When the Training Data Is Not IID. IJCAI 2007: 756-761 - [c34]Glenn Fung, Rómer Rosales, R. Bharat Rao:
Feature Selection and Kernel Design via Linear Programming. IJCAI 2007: 786-791 - [c33]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: 1033-1037 - [c32]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: 65140H - [c31]Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, R. Bharat Rao:
Bayesian Co-Training. NIPS 2007: 1665-1672 - [c30]Vasco Pedro, Lucian Vlad Lita, Radu Stefan Niculescu, Bharat Rao, Jaime G. Carbonell:
Federated Ontology Search for the Medical Domain. OTM Workshops (1) 2007: 554-565 - [c29]Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky:
Probabilistic Joint Feature Selection for Multi-task Learning. SDM 2007: 332-342 - 2006
- [j11]Jan Damsgaard, Mihir A. Parikh, Bharat Rao:
Wireless commons perils in the common good. Commun. ACM 49(2): 104-109 (2006) - [j10]Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao:
Bayesian Network Learning with Parameter Constraints. J. Mach. Learn. Res. 7: 1357-1383 (2006) - [j9]R. Bharat Rao, Sriram Krishnan, Radu Stefan Niculescu:
Data mining for improved cardiac care. SIGKDD Explor. 8(1): 3-10 (2006) - [j8]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): 39-46 (2006) - [c28]Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao:
Batch Classification with Applications in Computer Aided Diagnosis. ECML 2006: 449-460 - [c27]Bojan Angelov, Bharat Rao:
From Macedonia to Mauritius: New Trajectories in Wireless Broadband Development. ICMB 2006: 43 - [c26]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: 837-844 - [c25]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: 84-91 - [c24]Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao:
Multiple Instance Learning for Computer Aided Diagnosis. NIPS 2006: 425-432 - 2005
- [c23]Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao:
Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM 2005: 569-572 - [c22]Glenn Fung, Maleeha Qazi, Sriram Krishnan, Jinbo Bi, R. Bharat Rao, A. Katz:
Sparse classifiers for Automated HeartWall Motion Abnormality Detection. ICMLA 2005: 194-200 - [c21]Glenn Fung, Sathyakama Sandilya, R. Bharat Rao:
Rule extraction from linear support vector machines. KDD 2005: 32-40 - [c20]Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao:
Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models. SDM 2005: 310-321 - [c19]Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao:
Sparse Fisher Discriminant Analysis for Computer Aided Detection. SDM 2005: 476-480 - 2004
- [c18]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: 978-982 - [c17]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: 1010-1014 - [c16]Bharat Rao, Louis Minakakis:
Assessing the Business Impact of Location Based Services. HICSS 2004 - [c15]Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao:
A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML 2004 - [c14]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: 777-785 - [c13]Sathyakama Sandilya, R. Bharat Rao:
Continuous-Time Bayesian Modeling of Clinical Data. SDM 2004: 512-516 - 2003
- [j7]Bharat Rao, Louis Minakakis:
Evolution of mobile location-based services. Commun. ACM 46(12): 61-65 (2003) - [j6]Bharat Rao, Mihir A. Parikh:
Wireless Broadband Networks: The U.S. Experience. Int. J. Electron. Commer. 8(1): 37-53 (2003) - [c12]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 - [c11]William Landi, R. Bharat Rao:
Secure De-identification and Re-identification. AMIA 2003 - [c10]R. Bharat Rao, Sathyakama Sandilya, Radu Stefan Niculescu, Colin Germond, Harsha Rao:
Clinical and financial outcomes analysis with existing hospital patient records. KDD 2003: 416-425 - 2002
- [j5]Bharat Rao:
Preface to the Special Section on Mobile Commerce. Electron. Mark. 12(1): 3-5 (2002) - [c9]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 - [c8]R. Bharat Rao, Sathyakama Sandilya, Radu Stefan Niculescu, Colin Germond, Arun Goel:
Mining time-dependent patient outcomes from hospital patient records. AMIA 2002
1990 – 1999
- 1999
- [j4]Bharat Rao:
Deploying an effective e-tailing strategy. Electron. Mark. 9(2): 89-92 (1999) - [j3]Bharat Rao, Ziv Navoth, Mel Horwitch:
Building a World Class Logistics, Distribution and Electronic Commerce Infrastructure. Electron. Mark. 9(3): 174-180 (1999) - [j2]Louis Minakakis, Bharat Rao:
Competing in Online Markets: Financial Services as a Case in Point. Electron. Mark. 9(4): 263-268 (1999) - [j1]Vanitha Swaminathan, Elzbieta Lepkowska-White, Bharat Rao:
Browsers or Buyers in Cyberspace? An Investigation of Factors Influencing Electronic Exchange. J. Comput. Mediat. Commun. 5(2): 0 (1999) - 1998
- [c7]R. Bharat Rao, Scott Rickard, Frans Coetzee:
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers. KDD 1998: 319-323 - 1997
- [c6]Emin Aleskerov, Bernd Freisleben, Bharat Rao:
CARDWATCH: a neural network based database mining system for credit card fraud detection. CIFEr 1997: 220-226 - 1995
- [c5]R. Bharat Rao, Diana F. Gordon, William M. Spears:
For Every Generalization Action, Is There Really an Equal and Opposite Reaction? ICML 1995: 471-479 - 1993
- [b1]R. Bharat Rao:
Inverse Engineering: A Machine Learning Approach to Support Engineering Synthesis. University of Illinois Urbana-Champaign, USA, 1993 - [c4]R. Bharat Rao, Stephen C. Y. Lu:
Building Models to Support Synthesis in Early Stage Product Design. AAAI 1993: 277-282 - [c3]R. Bharat Rao, Thomas B. Voigt, Thomas W. Fermanian:
Data Mining of Subjective Agricultural Data. ICML 1993: 244-251 - 1992
- [c2]R. Bharat Rao, Stephen C. Y. Lu:
Learning Engineering Models with the Minimum Description Length Principle. AAAI 1992: 717-722 - 1991
- [c1]R. Bharat Rao, Stephen C. Y. Lu, Robert E. Stepp:
Knowledge-Based Equation Discovery in Engineering Domains. ML 1991: 630-634
Coauthor Index
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