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| 2010 | ||
|---|---|---|
| 29 | Aniruddha J. Joshi, Sharat Chandran, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni: Hybrid Support Vector Machine for imbalanced data in multiclass arrhythmia classification. I. J. Functional Informatics and Personalised Medicine 3(1): 29-47 (2010) | |
| 2009 | ||
| 28 | Aniruddha J. Joshi, Sharat Chandran, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni: Hybrid SVM for Multiclass Arrhythmia Classification. BIBM 2009: 287-290 | |
| 27 | Shreyas Karnik, Joydeep Mitra, Arunima Singh, Bhaskar D. Kulkarni, V. Sundarajan, Vaidyanathan K. Jayaraman: Identification of N-Glycosylation Sites with Sequence and Structural Features Employing Random Forests. PReMI 2009: 146-151 | |
| 2008 | ||
| 26 | Aniruddha J. Joshi, Sharat Chandran, Valadi K. Jayaraman, Bhaskar D. Kulkarni: Arterial Pulse Rate Variability analysis for diagnoses. ICPR 2008: 1-4 | |
| 25 | Aniruddha J. Joshi, Sharat Chandran, Valadi K. Jayaraman, Bhaskar D. Kulkarni: Multifractality in arterial pulse. ICPR 2008: 1-4 | |
| 24 | 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 | |
| 23 | 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 | ||
| 22 | 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 | |
| 21 | Rajshekhar, Ankur Gupta, A. N. Samanta, Bhaskar D. Kulkarni, Vaidyanathan K. Jayaraman: Fault Diagnosis Using Dynamic Time Warping. PReMI 2007: 57-66 | |
| 20 | 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 | |
| 19 | 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) | |
| 18 | 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 | ||
| 17 | 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 | ||
| 16 | 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 | |
| 15 | 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 | |
| 14 | 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 | |
| 13 | 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) | |
| 12 | Abhijit Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni: Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process. Computers & Chemical Engineering 29(10): 2128-2133 (2005) | |
| 11 | 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 | ||
| 10 | Abhijit Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni: Support vector classification with parameter tuning assisted by agent-based technique. Computers & Chemical Engineering 28(3): 311-318 (2004) | |
| 9 | P. S. Shelokar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni: An ant colony classifier system: application to some process engineering problems. Computers & Chemical Engineering 28(9): 1577-1584 (2004) | |
| 8 | Rajiv Kumar, Abhijit Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni: Symbolization assisted SVM classifier for noisy data. Pattern Recognition Letters 25(4): 495-504 (2004) | |
| 2003 | ||
| 7 | 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) | |
| 6 | 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 | ||
| 5 | 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 | ||
| 4 | R. Konnur, Valadi K. Jayaraman, Bhaskar D. Kulkarni: Onset of resonance in chaotically driven systems. Appl. Math. Lett. 13(8): 69-75 (2000) | |
| 3 | 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) | |
Colors in the list of coauthors
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