Balaji Krishnapuram

	2008
21		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: 350-357
20		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: 504-509
19		Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao: Bayesian multiple instance learning: automatic feature selection and inductive transfer. ICML 2008: 808-815
18		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): 1158-1170 (2008)
17		R. Bharat Rao, Oksana Yakhnenko, Balaji Krishnapuram: KDD cup 2008 and the workshop on mining medical data. SIGKDD Explorations 10(2): 34-38 (2008)
	2007
16		Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao: Learning Classifiers When the Training Data Is Not IID. IJCAI 2007: 756-761
15		Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, R. Bharat Rao: Bayesian Co-Training. NIPS 2007
14		Vikas C. Raykar, Harald Steck, Balaji Krishnapuram, Cary Dehing-Oberije, Philippe Lambin: On Ranking in Survival Analysis: Bounds on the Concordance Index. NIPS 2007
13		David Williams, Xuejun Liao, Ya Xue, Lawrence Carin, Balaji Krishnapuram: On Classification with Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 427-436 (2007)
12		Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram: Multi-Task Learning for Classification with Dirichlet Process Priors. Journal of Machine Learning Research 8: 35-63 (2007)
	2006
11		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: 84-91
10		Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao: Batch Classification with Applications in Computer Aided Diagnosis. ECML 2006: 449-460
9		Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao: Multiple Instance Learning for Computer Aided Diagnosis. NIPS 2006: 425-432
8		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): 522-532 (2006)
	2005
7		Glenn Fung, Rómer Rosales, Balaji Krishnapuram: Learning Rankings via Convex Hull Separation. NIPS 2005
6		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): 957-968 (2005)
	2004
5		Balaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo: On Semi-Supervised Classification. NIPS 2004
4		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): 1105-1111 (2004)
3		Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink: Joint Classifier and Feature Optimization for Comprehensive Cancer Diagnosis Using Gene Expression Data. Journal of Computational Biology 11(2/3): 227-242 (2004)
	2003
2		Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink: Joint classifier and feature optimization for cancer diagnosis using gene expression data. RECOMB 2003: 167-175
	2002
1		Balaji Krishnapuram, Lawrence Carin: Support Vector Machines for Improved Multiaspect Target Recognition Using the Fisher Scores of Hidden Markov Models. JCIS 2002: 354-357

Coauthor Index

1	Menahem Abramov	[21]
2	Philippe Bamberger	[11] [20] [21]
3	Jinbo Bi	[16] [19]
4	Lawrence Carin	[1] [2] [3] [4] [5] [6] [8] [12] [13]
5	Cary Dehing-Oberije	[14]
6	Murat Dundar	[9] [16] [19]
7	Ramani Duraiswami	[18]
8	Jennifer G. Dy	[10]
9	Mário A. T. Figueiredo	[4] [5] [6]
10	Glenn Fung	[7] [9] [10] [11] [20]
11	Alexander J. Hartemink	[2] [3] [4] [5] [6]
12	Shihao Ji	[8]
13	Philippe Lambin	[14]
14	Richard Lederman	[20]
15	Isaac Leichter	[20]
16	Xuejun Liao	[12] [13]
17	Alexandra Manevitch	[21]
18	Nicolas Merlet	[11] [20] [21]
19	R. Bharat Rao	[9] [10] [11] [15] [16] [17] [19] [21]
20	Eli Ratner	[11] [20] [21]
21	Vikas C. Raykar	[14] [18] [19] [21]
22	Rómer Rosales	[7] [15]
23	Inna Stainvas	[21]
24	Harald Steck	[14] [15]
25	Jonathan Stoeckel	[11] [21]
26	Volkan Vural	[10]
27	David Williams	[5] [13]
28	Ya Xue	[5] [12] [13]
29	Oksana Yakhnenko	[17]
30	Shipeng Yu	[15]

Colors in the list of coauthors