R. Bharat Rao

According to our database1, R. Bharat Rao authored at least 77 papers between 1991 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Protecting Sensitive Data through Federated Co-Training.
CoRR, 2023

2016
Innovation and Collaboration Patterns in Human-Computer Interaction Research.
Proceedings of the Human-Computer Interaction. Theory, Design, Development and Practice, 2016

2013
The role of medical data analytics in reducing health fraud and improving clinical and financial outcomes.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

2012
Introduction to the special section on clinical data mining.
SIGKDD Explor., 2012

Knowledge discovery system for automated quality abstraction.
SIGHIT Rec., 2012

Active Learning from Multiple Knowledge Sources.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011
Bayesian Co-Training.
J. Mach. Learn. Res., 2011

2010
Guest Editorial: Special Issue on impacting patient care by mining medical data.
Data Min. Knowl. Discov., 2010

UjU: SMS-based applications made easy.
Proceedings of the First ACM Annual Symposium on Computing for Development, 2010

2009
Active Sensing.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Using Local Dependencies within Batches to Improve Large Margin Classifiers.
J. Mach. Learn. Res., 2009

Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis.
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Data-Efficient Information-Theoretic Test Selection.
Proceedings of the Artificial Intelligence in Medicine, 2009

2008
Rule Extraction from Linear Support Vector Machines via Mathematical Programming.
Proceedings of the Rule Extraction from Support Vector Machines, 2008

Multiple-Instance Learning Algorithms for Computer-Aided Detection.
IEEE Trans. Biomed. Eng., 2008

KDD cup 2008 and the workshop on mining medical data.
SIGKDD Explor., 2008

Fast semi-supervised SVM classifiers using <i>a priori</i> metric information.
Optim. Methods Softw., 2008

Technology-facilitated 'Give According to Your Abilities, Receive According to Your Needs'.
Commun. ACM, 2008

On the Dangers of Cross-Validation. An Experimental Evaluation.
Proceedings of the SIAM International Conference on Data Mining, 2008

An Improved Multi-task Learning Approach with Applications in Medical Diagnosis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography.
Proceedings of the Digital Mammography, 2008

Privacy-preserving cox regression for survival analysis.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Bayesian multiple instance learning: automatic feature selection and inductive transfer.
Proceedings of the Machine Learning, 2008

Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Probabilistic Joint Feature Selection for Multi-task Learning.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Federated Ontology Search for the Medical Domain.
Proceedings of the On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops, 2007

Bayesian Co-Training.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Training a CAD classifier with correlated data.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

LungCAD: a clinically approved, machine learning system for lung cancer detection.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks.
Proceedings of the IJCAI 2007, 2007

A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints.
Proceedings of the IJCAI 2007, 2007

Feature Selection and Kernel Design via Linear Programming.
Proceedings of the IJCAI 2007, 2007

Learning Classifiers When the Training Data Is Not IID.
Proceedings of the IJCAI 2007, 2007

Automatic medical coding of patient records via weighted ridge regression.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Modeling the fMRI Signal via Hierarchical Clustered Hidden Process Models.
Proceedings of the AMIA 2007, 2007

2006
Data mining for improved cardiac care.
SIGKDD Explor., 2006

On the medical frontier: the 2006 KDD Cup competition and results.
SIGKDD Explor., 2006

Bayesian Network Learning with Parameter Constraints.
J. Mach. Learn. Res., 2006

Wireless commons perils in the common good.
Commun. ACM, 2006

Multiple Instance Learning for Computer Aided Diagnosis.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcifications.
Proceedings of the Digital Mammography, 2006

Computer aided detection via asymmetric cascade of sparse hyperplane classifiers.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

From Macedonia to Mauritius: New Trajectories in Wireless Broadband Development.
Proceedings of the 2006 International Conference on Mobile Business (ICMB 2006), 2006

Batch Classification with Applications in Computer Aided Diagnosis.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Sparse Fisher Discriminant Analysis for Computer Aided Detection.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Rule extraction from linear support vector machines.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Sparse classifiers for Automated HeartWall Motion Abnormality Detection.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Semi-Supervised Mixture of Kernels via LPBoost Methods.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Continuous-Time Bayesian Modeling of Clinical Data.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Real-Time Multi-model Tracking of Myocardium in Echocardiography Using Robust Information Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

A fast iterative algorithm for fisher discriminant using heterogeneous kernels.
Proceedings of the Machine Learning, 2004

Assessing the Business Impact of Location Based Services.
Proceedings of the 37th Hawaii International Conference on System Sciences (HICSS-37 2004), 2004

A methodology for training and validating a CAD system and potential pitfalls.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

CAD for polyp detection: an invaluable tool to meet the increasing need for colon-cancer screening.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

2003
Wireless Broadband Networks: The U.S. Experience.
Int. J. Electron. Commer., 2003

Evolution of mobile location-based services.
Commun. ACM, 2003

Clinical and financial outcomes analysis with existing hospital patient records.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Secure De-identification and Re-identification.
Proceedings of the AMIA 2003, 2003

Evaluating the C-section Rate of Different Physician Practices: Using Machine Learning to Model Standard Practice.
Proceedings of the AMIA 2003, 2003

2002
Preface to the Special Section on Mobile Commerce.
Electron. Mark., 2002

Mining time-dependent patient outcomes from hospital patient records.
Proceedings of the AMIA 2002, 2002

Machine learning for sub-population assessment: evaluating the C-section rate of different physician practices.
Proceedings of the AMIA 2002, 2002

1999
Browsers or Buyers in Cyberspace? An Investigation of Factors Influencing Electronic Exchange.
J. Comput. Mediat. Commun., 1999

Building a World Class Logistics, Distribution and Electronic Commerce Infrastructure.
Electron. Mark., 1999

Deploying an effective e-tailing strategy.
Electron. Mark., 1999

Competing in Online Markets: Financial Services as a Case in Point.
Electron. Mark., 1999

1998
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1997
CARDWATCH: a neural network based database mining system for credit card fraud detection.
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997

1995
For Every Generalization Action, Is There Really an Equal and Opposite Reaction?
Proceedings of the Machine Learning, 1995

1993
Inverse Engineering: A Machine Learning Approach to Support Engineering Synthesis
PhD thesis, 1993

Data Mining of Subjective Agricultural Data.
Proceedings of the Machine Learning, 1993

Building Models to Support Synthesis in Early Stage Product Design.
Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

1992
Learning Engineering Models with the Minimum Description Length Principle.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991
Knowledge-Based Equation Discovery in Engineering Domains.
Proceedings of the Eighth International Workshop (ML91), 1991


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