Support Vector Machines for improved multiaspect target recognition using the fisher kernel scores of Hidden Markov Models. - Balaji Krishnapuram; Lawrence Carin (ICASSP, 2002)

Support Vector Machines for Improved Multiaspect Target Recognition Using the Fisher Scores of Hidden Markov Models. - Balaji Krishnapuram; Lawrence Carin (JCIS, 2002)

Joint classifier and feature optimization for cancer diagnosis using gene expression data. - Balaji Krishnapuram; Lawrence Carin; Alexander J. Hartemink (RECOMB, 2003)

An M-ary KMP classifier for multi-aspect target classification. - Xuejun Liao; Hui Li 068; Balaji Krishnapuram (ICASSP (2), 2004)

Generative models and Bayesian model comparison for shape recognition. - Balaji Krishnapuram; Christopher M. Bishop; Martin Szummer (IWFHR, 2004)

On Semi-Supervised Classification. - Balaji Krishnapuram; David Williams; Ya Xue; Alexander J. Hartemink; Lawrence Carin; Mário A. T. Figueiredo (NIPS, 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)

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)

Learning Rankings via Convex Hull Separation. - Glenn Fung; Rómer Rosales; Balaji Krishnapuram (NIPS, 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)

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

Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning. - Shihao Ji 001; Balaji Krishnapuram; Lawrence Carin (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

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

On Ranking in Survival Analysis: Bounds on the Concordance Index. - Vikas C. Raykar; Harald Steck; Balaji Krishnapuram; Cary Dehing-Oberije; Philippe Lambin (NIPS, 2007)

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

A fast algorithm for learning large scale preference relations. - Vikas C. Raykar; Ramani Duraiswami; Balaji Krishnapuram (AISTATS, 2007)

Multi-Task Learning for Classification with Dirichlet Process Priors. - Ya Xue; Xuejun Liao; Lawrence Carin; Balaji Krishnapuram (J. Mach. Learn. Res., 2007)

On Classification with Incomplete Data. - David Williams; Xuejun Liao; Ya Xue; Lawrence Carin; Balaji Krishnapuram (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

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

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 (Digital Mammography / IWDM, 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)

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)

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)

Designing efficient cascaded classifiers: tradeoff between accuracy and cost. - Vikas C. Raykar; Balaji Krishnapuram; Shipeng Yu (KDD, 2010)

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

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 (AMIA, 2012)

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

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)

An Interview with Dr. Balaji Krishnapuram, Winner of SIGKDD Service Award. - Balaji Krishnapuram (SIGKDD Explor., 2019)