Balaji Krishnapuram

Publication Activity (10 Years)

Years Active: 2002-2019
Publications (10 Years): 1

Top Topics

Prediction Model

Discovered Knowledge

Top Venues

Artif. Intell. Medicine

Publications

Balaji Krishnapuram
An Interview with Dr. Balaji Krishnapuram, Winner of SIGKDD Service Award. SIGKDD Explor. 21 (2) (2019)
Shipeng Yu, Faisal Farooq, Alexander Van Esbroeck, Glenn Fung, Vikram Anand, Balaji Krishnapuram
Predicting readmission risk with institution-specific prediction models. Artif. Intell. Medicine 65 (2) (2015)
Shipeng Yu, Alexander Van Esbroeck, Faisal Farooq, Glenn Fung, Vikram Anand, Balaji Krishnapuram
Predicting Readmission Risk with Institution Specific Prediction Models. ICHI (2013)
Faisal Farooq, Shipeng Yu, Balaji Krishnapuram, Bharat Rao
Knowledge discovery system for automated quality abstraction. SIGHIT Rec. 2 (1) (2012)
Shipeng Yu, Faisal Farooq, Glenn Fung, Balaji Krishnapuram, Alexander Van Esbroeck, Vikram Anand
Building Hospital-Specific Readmission Risk Prediction Models for Heart Failure, Acute Myocardial Infarction and Pneumonia patients. AMIA (2012)
Faisal Farooq, Balaji Krishnapuram, Rómer Rosales, Shipeng Yu, Jude W. Shavlik, Raju Kucherlapati
Predictive Models in Personalized Medicine: Neural Information Processing Systems (NIPS), 2010 workshop report. SIGHIT Rec. 1 (1) (2011)
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao
Bayesian Co-Training. J. Mach. Learn. Res. 12 (2011)
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
Designing efficient cascaded classifiers: tradeoff between accuracy and cost. KDD (2010)
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, R. Bharat Rao
Active Sensing. AISTATS (2009)
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 (2009)
R. Bharat Rao, Oksana Yakhnenko, Balaji Krishnapuram
KDD cup 2008 and the workshop on mining medical data. SIGKDD Explor. 10 (2) (2008)
Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao
Bayesian multiple instance learning: automatic feature selection and inductive transfer. ICML (2008)
Murat Dundar, Glenn Fung, Balaji Krishnapuram, R. Bharat Rao
Multiple-Instance Learning Algorithms for Computer-Aided Detection. IEEE Trans. Biomed. Eng. 55 (3) (2008)
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)
Vikas C. Raykar, Ramani Duraiswami, Balaji Krishnapuram
A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets. IEEE Trans. Pattern Anal. Mach. Intell. 30 (7) (2008)
Isaac Leichter, Richard Lederman, Eli Ratner, Nicolas Merlet, Glenn Fung, Balaji Krishnapuram, Philippe Bamberger
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?. Digital Mammography / IWDM (2008)
Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao
Learning Classifiers When the Training Data Is Not IID. IJCAI (2007)
Vikas C. Raykar, Ramani Duraiswami, Balaji Krishnapuram
A fast algorithm for learning large scale preference relations. AISTATS (2007)
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)
Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, R. Bharat Rao
Bayesian Co-Training. NIPS (2007)
Vikas C. Raykar, Harald Steck, Balaji Krishnapuram, Cary Dehing-Oberije, Philippe Lambin
On Ranking in Survival Analysis: Bounds on the Concordance Index. NIPS (2007)
David Williams, Xuejun Liao, Ya Xue, Lawrence Carin, Balaji Krishnapuram
On Classification with Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 29 (3) (2007)
Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram
Multi-Task Learning for Classification with Dirichlet Process Priors. J. Mach. Learn. Res. 8 (2007)
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. 28 (4) (2006)
Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao
Multiple Instance Learning for Computer Aided Diagnosis. NIPS (2006)
Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao
Batch Classification with Applications in Computer Aided Diagnosis. ECML (2006)
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)
Glenn Fung, Rómer Rosales, Balaji Krishnapuram
Learning Rankings via Convex Hull Separation. NIPS (2005)
Balaji Krishnapuram, Lawrence Carin, Mário A. T. Figueiredo, Alexander J. Hartemink
Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds. IEEE Trans. Pattern Anal. Mach. Intell. 27 (6) (2005)
Balaji Krishnapuram, Christopher M. Bishop, Martin Szummer
Generative models and Bayesian model comparison for shape recognition. IWFHR (2004)
Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink
Joint Classifier and Feature Optimization for Comprehensive Cancer Diagnosis Using Gene Expression Data. J. Comput. Biol. 11 (2/3) (2004)
Balaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo
On Semi-Supervised Classification. NIPS (2004)
Balaji Krishnapuram, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo
A Bayesian Approach to Joint Feature Selection and Classifier Design. IEEE Trans. Pattern Anal. Mach. Intell. 26 (9) (2004)
Xuejun Liao, Hui Li, Balaji Krishnapuram
An M-ary KMP classifier for multi-aspect target classification. ICASSP (2) (2004)
Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink
Joint classifier and feature optimization for cancer diagnosis using gene expression data. RECOMB (2003)
Balaji Krishnapuram, Lawrence Carin
Support Vector Machines for improved multiaspect target recognition using the fisher kernel scores of Hidden Markov Models. ICASSP (2002)
Balaji Krishnapuram, Lawrence Carin
Support Vector Machines for Improved Multiaspect Target Recognition Using the Fisher Scores of Hidden Markov Models. JCIS (2002)