Balaji Krishnapuram

Computer Science · Physical Sciences

22h-index3.1kcitations56works0.02yr avg
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Research Topics

Machine Learning and Data Classification(11), Machine Learning and Algorithms(10), Artificial Intelligence in Healthcare(6), Image Retrieval and Classification Techniques(5), Gene expression and cancer classification(5)

Publications56 total

An Interview with Dr. Balaji Krishnapuram, Winner of SIGKDD Service Award
ACM SIGKDD Explorations Newsletter·2019
Predicting readmission risk with institution-specific prediction models
Artificial Intelligence in Medicine·2015· 116 cited
Predicting Readmission Risk with Institution Specific Prediction Models
2013· 24 cited
PD-0496: Multi-centric learning with a federated IT infrastructure: application to 2-year lung-cancer survival prediction
Radiotherapy and Oncology·2013· 5 cited
PO-0886: Privacy-preserving, multi-centric machine learning across hospitals and countries: does it work?
Radiotherapy and Oncology·2013· 2 citedOpen Access
Categorizing medications from unstructured clinical notes.
PubMed Central·2013· 2 citedOpen Access
PD-0571 RAPID LEARNING IN PRACTICE: VALIDATION OF AN EU POPULATION-BASED PREDICTION MODEL IN USA TRIAL DATA FOR H&N CANCER.
Radiotherapy and Oncology·2012· 2 cited
Knowledge discovery system for automated quality abstraction
ACM SIGHIT Record·2012
Building Hospital-Specific Readmission Risk Prediction Models for Heart Failure, Acute Myocardial Infarction and Pneumonia patients.
AMIA·2012· 3 cited
Proceedings of the 2011 workshop on Data mining for medicine and healthcare
2011
Predictive Models in Personalized Medicine
ACM SIGHIT Record·2011· 2 cited
Bayesian Co-Training
Journal of Machine Learning Research·2011· 107 cited
Leveraging rich annotations to improve learning of medical concepts from clinical free text.
PubMed·2011· 7 citedOpen Access
Automated identification of medical concepts and assertions in medical text.
PubMed·2010· 5 citedOpen Access
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
2010· 3 cited
Designing efficient cascaded classifiers
2010· 37 cited
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: Foreword
Knowledge Discovery and Data Mining·2010· 1 cited
Using Local Dependencies within Batches to Improve Large Margin Classifiers
Journal of Machine Learning Research·2009· 20 cited
KDD cup 2008 and the workshop on mining medical data
ACM SIGKDD Explorations Newsletter·2008· 8 cited
Robust prognostic value of a knowledge-based proliferation signature across large patient microarray studies spanning different cancer types
British Journal of Cancer·2008· 55 citedOpen Access
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Frequent Co-authors

Lawrence Carin(15), Glenn Fung(12), R. Bharat Rao(10), Shipeng Yu(9), Philippe Lambin(7), Vikas C. Raykar(7), Faisal Farooq(7), Alexander J. Hartemink(6), Rómer Rosales(5), Bharat Rao(5), Xuejun Liao(4), Harald Steck(4), Murat Dündar(4), Vikram Anand(4), Mário A. T. Figueiredo(3), Ya Xue(3), Cary Oberije(3), Alexander Van Esbroeck(3), Ramani Duraiswami(3), Peter Bamberger(3)