 | 2008 |
| 25 |  | Aniruddha J. Joshi,
Sharat Chandran,
Valadi K. Jayaraman,
Bhaskar D. Kulkarni:
Arterial Pulse Rate Variability analysis for diagnoses.
ICPR 2008: 1-4 |
| 24 |  | Aniruddha J. Joshi,
Sharat Chandran,
Valadi K. Jayaraman,
Bhaskar D. Kulkarni:
Multifractality in arterial pulse.
ICPR 2008: 1-4 |
| 23 |  | 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 |
| 22 |  | 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 |
| 21 |  | 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 |
| 20 |  | Rajshekhar,
Ankur Gupta,
A. N. Samanta,
Bhaskar D. Kulkarni,
Vaidyanathan K. Jayaraman:
Fault Diagnosis Using Dynamic Time Warping.
PReMI 2007: 57-66 |
| 19 |  | 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 |
| 18 |  | 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) |
| 17 |  | 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 |
| 16 |  | 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 |
| 15 |  | 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 |
| 14 |  | 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 |
| 13 |  | 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 |
| 12 |  | 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) |
| 11 |  | 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) |
| 10 |  | 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 |
| 9 |  | 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) |
| 8 |  | 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) |
| 7 |  | 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 |
| 6 |  | 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 |  | 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 |  | 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) |