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Publications of Author

1. 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. [Citation Graph (0, 0)][DBLP]
   IICAI, 2005, pp:856-866 [Conf]
   
2. R. Vigneshwar, Onkar C. Kulkarni, Valadi K. Jayaraman, Bhaskar D. Kulkarni
   Support Vector Indentification of Light Induced Genes from Microarray Data Incorporating Motif Information. [Citation Graph (0, 0)][DBLP]
   IICAI, 2005, pp:1565-1575 [Conf]
   
3. Aniruddha Joshi, Rajshekhar, Sharat Chandran, Sanjay Phadke, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
   Arrhythmia Classification Using Local Hölder Exponents and Support Vector Machine. [Citation Graph (0, 0)][DBLP]
   PReMI, 2005, pp:242-247 [Conf]
   
4. 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. [Citation Graph (0, 0)][DBLP]
   Bioinformatics, 2006, v:22, n:3, pp:278-284 [Journal]
   
5. Onkar C. Kulkarni, R. Vigneshwar, Valadi K. Jayaraman, Bhaskar D. Kulkarni
   Identification of coding and non-coding sequences using local Hölder exponent formalism. [Citation Graph (0, 0)][DBLP]
   Bioinformatics, 2005, v:21, n:20, pp:3818-3823 [Journal]
   
6. T. M. Nair, Sanjeev S. Tambe, Bhaskar D. Kulkarni
   Analysis of transcription control signals using artificial neural networks. [Citation Graph (0, 0)][DBLP]
   Computer Applications in the Biosciences, 1995, v:11, n:3, pp:293-300 [Journal]
   
7. Rupali V. Parbhane, Sanjeev S. Tambe, Bhaskar D. Kulkarni
   Analysis of DNA curvature using artificial neural networks. [Citation Graph (0, 0)][DBLP]
   Bioinformatics, 1998, v:14, n:2, pp:131-138 [Journal]
   
8. Rupali N. Kalate, Sanjeev S. Tambe, Bhaskar D. Kulkarni
   Artificial neural networks for prediction of mycobacterial promoter sequences. [Citation Graph (0, 0)][DBLP]
   Computational Biology and Chemistry, 2003, v:27, n:6, pp:555-564 [Journal]
   
9. J. Rajesh, Kapil Gupta, Hari Shankar Kusumakar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
   Dynamic Optimization of Chemical Processes using Ant Colony Framework. [Citation Graph (0, 0)][DBLP]
   Computers & Chemistry, 2001, v:25, n:6, pp:583-595 [Journal]
   
10. Rupali V. Parbhane, Sanjeev S. Tambe, Bhaskar D. Kulkarni
    ANN Modeling of DNA Sequences: New Strategies using DNA Shape Code. [Citation Graph (0, 0)][DBLP]
    Computers & Chemistry, 2000, v:24, n:6, pp:699-711 [Journal]
    
11. 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. [Citation Graph (0, 0)][DBLP]
    J. Heuristics, 2003, v:9, n:4, pp:307-319 [Journal]
    
12. Rajiv Kumar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
    An SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:1, pp:41-49 [Journal]
    
13. Rajiv Kumar, A. Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
    Symbolization assisted SVM classifier for noisy data. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:4, pp:495-504 [Journal]
    
14. 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. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2007, v:28, n:13, pp:1610-1615 [Journal]
    
15. 
    Multifractality in arterial pulse. [Citation Graph (, )][DBLP]
    
    
16. 
    Arterial Pulse Rate Variability analysis for diagnoses. [Citation Graph (, )][DBLP]
    
    
17. 
    Fault Diagnosis Using Dynamic Time Warping. [Citation Graph (, )][DBLP]
    
    
18. 
    Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Overexpression in Escherichia Coli. [Citation Graph (, )][DBLP]
    
    
19. 
    Identification of N-Glycosylation Sites with Sequence and Structural Features Employing Random Forests. [Citation Graph (, )][DBLP]
    
    
20. 
    Hybrid SVM for Multiclass Arrhythmia Classification. [Citation Graph (, )][DBLP]