Balaji Krishnapuram

According to our database, Balaji Krishnapuram authored at least 36 papers between 2002 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

An Interview with Dr. Balaji Krishnapuram, Winner of SIGKDD Service Award.

Balaji Krishnapuram

SIGKDD Explor., 2019

2015

Predicting readmission risk with institution-specific prediction models.

Shipeng Yu, Faisal Farooq, Alexander Van Esbroeck, Glenn Fung, Vikram Anand, Balaji Krishnapuram

Artif. Intell. Medicine, 2015

2012

Knowledge discovery system for automated quality abstraction.

Faisal Farooq, Shipeng Yu, Balaji Krishnapuram, Bharat Rao

SIGHIT Rec., 2012

Building Hospital-Specific Readmission Risk Prediction Models for Heart Failure, Acute Myocardial Infarction and Pneumonia patients.

Shipeng Yu, Faisal Farooq, Glenn Fung, Balaji Krishnapuram, Alexander Van Esbroeck, Vikram Anand

Proceedings of the AMIA 2012, 2012

2011

Predictive Models in Personalized Medicine: Neural Information Processing Systems (NIPS), 2010 workshop report.

Faisal Farooq, Balaji Krishnapuram, Rómer Rosales, Shipeng Yu, Jude W. Shavlik, Raju Kucherlapati

SIGHIT Rec., 2011

Bayesian Co-Training.

Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao

J. Mach. Learn. Res., 2011

2010

Designing efficient cascaded classifiers: tradeoff between accuracy and cost.

Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Active Sensing.

Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 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

2008

Multiple-Instance Learning Algorithms for Computer-Aided Detection.

Murat Dundar, Glenn Fung, Balaji Krishnapuram, R. Bharat Rao

IEEE Trans. Biomed. Eng., 2008

KDD cup 2008 and the workshop on mining medical data.

R. Bharat Rao, Oksana Yakhnenko, Balaji Krishnapuram

SIGKDD Explor., 2008

A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets.

Vikas C. Raykar, Ramani Duraiswami, Balaji Krishnapuram

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Does a Mammography CAD Algorithm with Varying Filtering Levels of Detection Marks, Used to Reduce the False Mark Rate, Adversely Affect the Detection of Small Masses?.

Isaac Leichter, Richard Lederman, Eli Ratner, Nicolas Merlet, Glenn Fung, Balaji Krishnapuram, Philippe Bamberger

Proceedings of the Digital Mammography, 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

Proceedings of the Digital Mammography, 2008

Bayesian multiple instance learning: automatic feature selection and inductive transfer.

Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao

Proceedings of the Machine Learning, 2008

2007

On Classification with Incomplete Data.

David Williams, Xuejun Liao, Ya Xue, Lawrence Carin, Balaji Krishnapuram

IEEE Trans. Pattern Anal. Mach. Intell., 2007

Multi-Task Learning for Classification with Dirichlet Process Priors.

Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram

J. Mach. Learn. Res., 2007

A fast algorithm for learning large scale preference relations.

Vikas C. Raykar, Ramani Duraiswami, Balaji Krishnapuram

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Bayesian Co-Training.

Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, R. Bharat Rao

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

On Ranking in Survival Analysis: Bounds on the Concordance Index.

Vikas C. Raykar, Harald Steck, Balaji Krishnapuram, Cary Dehing-Oberije, Philippe Lambin

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Training a CAD classifier with correlated data.

Murat Dundar, Balaji Krishnapuram, Matthias Wolf, Sarang Lakare, Luca Bogoni, Jinbo Bi, R. Bharat Rao

Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007

Learning Classifiers When the Training Data Is Not IID.

Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao

Proceedings of the IJCAI 2007, 2007

2006

Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning.

Shihao Ji, Balaji Krishnapuram, Lawrence Carin

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Multiple Instance Learning for Computer Aided Diagnosis.

Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao

Proceedings of the Advances in Neural Information Processing Systems 19, 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

Proceedings of the Digital Mammography, 2006

Batch Classification with Applications in Computer Aided Diagnosis.

Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds.

Balaji Krishnapuram, Lawrence Carin, Mário A. T. Figueiredo, Alexander J. Hartemink

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Learning Rankings via Convex Hull Separation.

Glenn Fung, Rómer Rosales, Balaji Krishnapuram

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

A Bayesian Approach to Joint Feature Selection and Classifier Design.

Balaji Krishnapuram, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo

IEEE Trans. Pattern Anal. Mach. Intell., 2004

Joint Classifier and Feature Optimization for Comprehensive Cancer Diagnosis Using Gene Expression Data.

Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink

J. Comput. Biol., 2004

On Semi-Supervised Classification.

Balaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Generative models and Bayesian model comparison for shape recognition.

Balaji Krishnapuram, Christopher M. Bishop, Martin Szummer

Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, 2004

An M-ary KMP classifier for multi-aspect target classification.

Xuejun Liao, Hui Li, Balaji Krishnapuram

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

Joint classifier and feature optimization for cancer diagnosis using gene expression data.

Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink

Proceedings of the Sventh Annual International Conference on Computational Biology, 2003

2002

Support Vector Machines for Improved Multiaspect Target Recognition Using the Fisher Scores of Hidden Markov Models.

Balaji Krishnapuram, Lawrence Carin

Proceedings of the 6th Joint Conference on Information Science, 2002

Support Vector Machines for improved multiaspect target recognition using the fisher kernel scores of Hidden Markov Models.

Balaji Krishnapuram, Lawrence Carin

Proceedings of the IEEE International Conference on Acoustics, 2002