Bhaskar D. Kulkarni

2008
22	EE	Aniruddha Joshi, Sharat Chandran, Valadi K. Jayaraman, Bhaskar D. Kulkarni: Arterial Pulse Rate Variability analysis for diagnoses. ICPR 2008: 1-4
21	EE	Aniruddha J. Joshi, Sharat Chandran, Valadi K. Jayaraman, Bhaskar D. Kulkarni: Multifractality in arterial pulse. ICPR 2008: 1-4
20	EE	Pankaj Kumar, Ankur Gupta, Valadi K. Jayaraman, Bhaskar D. Kulkarni: Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm. Advances in Metaheuristics for Hard Optimization 2008: 251-261
19	EE	P. S. Shelokar, Valadi K. Jayaraman, Bhaskar D. Kulkarni: Multicanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes. European Journal of Operational Research 185(3): 1213-1229 (2008)
2007
18	EE	Pankaj Kumar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni: Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Overexpression in Escherichia Coli. PReMI 2007: 406-415
17	EE	Rajshekhar, Ankur Gupta, A. N. Samanta, Bhaskar D. Kulkarni, Vaidyanathan K. Jayaraman: Fault Diagnosis Using Dynamic Time Warping. PReMI 2007: 57-66
16		Ankur Gupta, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni: Feature Selection for Cancer Classification Using Ant Colony Optimization and Support Vector Machines. Analysis of Biological Data: A Soft Computing Approach 2007: 259-280
15	EE	P. S. Shelokar, Patrick Siarry, Valadi K. Jayaraman, Bhaskar D. Kulkarni: Particle swarm and ant colony algorithms hybridized for improved continuous optimization. Applied Mathematics and Computation 188(1): 129-142 (2007)
14	EE	Piyushkumar A. Mundra, Madhan Kumar, K. Krishna Kumar, Valadi K. Jayaraman, Bhaskar D. Kulkarni: Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM. Pattern Recognition Letters 28(13): 1610-1615 (2007)
2006
13	EE	Susan Idicula-Thomas, Abhijit J. Kulkarni, Bhaskar D. Kulkarni, Valadi K. Jayaraman, Petety V. Balaji: A support vector machine-based method for predicting the propensity of a protein to be soluble or to form inclusion body on overexpression in Escherichia coli. Bioinformatics 22(3): 278-284 (2006)
2005
12		R. Vigneshwar, Onkar C. Kulkarni, Valadi K. Jayaraman, Bhaskar D. Kulkarni: Support Vector Indentification of Light Induced Genes from Microarray Data Incorporating Motif Information. IICAI 2005: 1565-1575
11		U. S. Phulwale, B. Jeevankumar, S. U. Patel, Y. P. Badhe, Sanjeev S. Tambe, Bhaskar D. Kulkarni: Process Monitoring and Fault Detection Using Curvilinear Component Analysis. IICAI 2005: 856-866
10	EE	Aniruddha J. Joshi, Rajshekhar, Sharat Chandran, Sanjay Phadke, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni: Arrhythmia Classification Using Local Hölder Exponents and Support Vector Machine. PReMI 2005: 242-247
9	EE	Onkar C. Kulkarni, R. Vigneshwar, Valadi K. Jayaraman, Bhaskar D. Kulkarni: Identification of coding and non-coding sequences using local Hölder exponent formalism. Bioinformatics 21(20): 3818-3823 (2005)
8	EE	Rajiv Kumar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni: An SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples. Pattern Recognition 38(1): 41-49 (2005)
2004
7	EE	Rajiv Kumar, A. Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni: Symbolization assisted SVM classifier for noisy data. Pattern Recognition Letters 25(4): 495-504 (2004)
2003
6	EE	Rupali N. Kalate, Sanjeev S. Tambe, Bhaskar D. Kulkarni: Artificial neural networks for prediction of mycobacterial promoter sequences. Computational Biology and Chemistry 27(6): 555-564 (2003)
5		J. Rajesh, Kapil Gupta, Hari Shankar Kusumakar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni: A Tabu Search Based Approach for Solving a Class of Bilevel Programming Problems in Chemical Engineering. J. Heuristics 9(4): 307-319 (2003)
2001
4	EE	J. Rajesh, Kapil Gupta, Hari Shankar Kusumakar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni: Dynamic Optimization of Chemical Processes using Ant Colony Framework. Computers & Chemistry 25(6): 583-595 (2001)
2000
3	EE	Rupali V. Parbhane, Sanjeev S. Tambe, Bhaskar D. Kulkarni: ANN Modeling of DNA Sequences: New Strategies using DNA Shape Code. Computers & Chemistry 24(6): 699-711 (2000)
1998
2		Rupali V. Parbhane, Sanjeev S. Tambe, Bhaskar D. Kulkarni: Analysis of DNA curvature using artificial neural networks. Bioinformatics 14(2): 131-138 (1998)
1995
1		T. M. Nair, Sanjeev S. Tambe, Bhaskar D. Kulkarni: Analysis of transcription control signals using artificial neural networks. Computer Applications in the Biosciences 11(3): 293-300 (1995)

Coauthor Index

1	Y. P. Badhe	[11]
2	Petety V. Balaji	[13]
3	Sharat Chandran	[10] [21] [22]
4	Ankur Gupta	[16] [17] [20]
5	Kapil Gupta	[4] [5]
6	Susan Idicula-Thomas	[13]
7	Vaidyanathan K. Jayaraman	[4] [5] [7] [8] [10] [16] [17] [18]
8	Valadi K. Jayaraman	[9] [12] [13] [14] [15] [19] [20] [21] [22]
9	B. Jeevankumar	[11]
10	Aniruddha Joshi	[22]
11	Aniruddha J. Joshi	[10] [21]
12	Rupali N. Kalate	[6]
13	A. Kulkarni	[7]
14	Abhijit J. Kulkarni	[13]
15	Onkar C. Kulkarni	[9] [12]
16	K. Krishna Kumar	[14]
17	Madhan Kumar	[14]
18	Pankaj Kumar	[18] [20]
19	Rajiv Kumar	[7] [8]
20	Hari Shankar Kusumakar	[4] [5]
21	Piyushkumar A. Mundra	[14]
22	T. M. Nair	[1]
23	Rupali V. Parbhane	[2] [3]
24	S. U. Patel	[11]
25	Sanjay Phadke	[10]
26	U. S. Phulwale	[11]
27	J. Rajesh	[4] [5]
28	Rajshekhar	[10] [17]
29	A. N. Samanta	[17]
30	P. S. Shelokar	[15] [19]
31	Patrick Siarry	[15]
32	Sanjeev S. Tambe	[1] [2] [3] [6] [11]
33	R. Vigneshwar	[9] [12]

Colors in the list of coauthors