Shirish Krishnaj Shevade

	2009
19		Amrish Patel, S. Sundararajan, Shirish Krishnaj Shevade: Semi-Supervised Classification Using Sparse Gaussian Process Regression. IJCAI 2009: 1193-1198
18		Shirish Krishnaj Shevade, S. Sundararajan: Validation-Based Sparse Gaussian Process Classifier Design. Neural Computation 21(7): 2082-2103 (2009)
	2007
17		S. Asharaf, M. Narasimha Murty, Shirish Krishnaj Shevade: Cluster Based Training for Scaling Non-linear Support Vector Machines. ICCTA 2007: 304-308
16		S. Asharaf, M. Narasimha Murty, Shirish Krishnaj Shevade: Multiclass core vector machine. ICML 2007: 41-48
15		S. Sathiya Keerthi, Shirish Krishnaj Shevade: A Fast Tracking Algorithm for Generalized LARS/LASSO. IEEE Transactions on Neural Networks 18(6): 1826-1830 (2007)
14		S. Sundararajan, Shirish Krishnaj Shevade, S. Sathiya Keerthi: Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. Neural Computation 19(1): 283-301 (2007)
	2006
13		Asharaf S, M. Narasimha Murty, Shirish Krishnaj Shevade: Cluster Based Core Vector Machine. ICDM 2006: 1038-1042
12		Shirish Krishnaj Shevade, Wei Chu: Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. ICDM 2006: 1054-1058
11		J. Saketha Nath, Shirish Krishnaj Shevade: An efficient clustering scheme using support vector methods. Pattern Recognition 39(8): 1473-1480 (2006)
10		S. Asharaf, M. Narasimha Murty, Shirish Krishnaj Shevade: Rough set based incremental clustering of interval data. Pattern Recognition Letters 27(6): 515-519 (2006)
	2005
9		J. Saketha Nath, Shirish Krishnaj Shevade: An Efficient Clustering Scheme using Support Vector Methods. IICAI 2005: 3436-3448
8		S. Sathiya Keerthi, Kaibo Duan, Shirish Krishnaj Shevade, A. Poo: A Fast Dual Algorithm for Kernel Logistic Regression. Machine Learning 61(1-3): 151-165 (2005)
7		S. Asharaf, Shirish Krishnaj Shevade, M. Narasimha Murty: Rough support vector clustering. Pattern Recognition 38(10): 1779-1783 (2005)
	2004
6		Shirish Krishnaj Shevade, S. Sundararajan, S. Sathiya Keerthi: Predictive Approaches for Sparse Model Learning. ICONIP 2004: 434-439
	2003
5		Kaibo Duan, S. Sathiya Keerthi, Wei Chu, Shirish Krishnaj Shevade, Aun Neow Poo: Multi-category Classification by Soft-Max Combination of Binary Classifiers. Multiple Classifier Systems 2003: 125-134
4		Shirish Krishnaj Shevade, S. Sathiya Keerthi: A simple and efficient algorithm for gene selection using sparse logistic regression. Bioinformatics 19(17): 2246-2253 (2003)
3		S. Sathiya Keerthi, Shirish Krishnaj Shevade: SMO Algorithm for Least-Squares SVM Formulation. Neural Computation 15(2): 487-507 (2003)
	2002
2		S. Sathiya Keerthi, Kaibo Duan, Shirish Krishnaj Shevade, Aun Neow Poo: A Fast Dual Algorithm for Kernel Logistic Regression. ICML 2002: 299-306
	2001
1		S. Sathiya Keerthi, Shirish Krishnaj Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy: Improvements to Platt's SMO Algorithm for SVM Classifier Design. Neural Computation 13(3): 637-649 (2001)

Coauthor Index

1	S. Asharaf	[7] [10] [16] [17]
2	Chiranjib Bhattacharyya (Chiru Bhattacharyya)	[1]
3	Wei Chu	[5] [12]
4	Kaibo Duan	[2] [5] [8]
5	S. Sathiya Keerthi	[1] [2] [3] [4] [5] [6] [8] [14] [15]
6	K. R. K. Murthy	[1]
7	M. Narasimha Murty	[7] [10] [13] [16] [17]
8	J. Saketha Nath	[9] [11]
9	Amrish Patel	[19]
10	A. Poo	[8]
11	Aun Neow Poo	[2] [5]
12	Asharaf S	[13]
13	S. Sundararajan	[6] [14] [18] [19]