Bhaskar D. Kulkarni

31 papers B 2Journal 20Unranked 7
YearRankTypeTitle / Venue / Authors
2018 J jnl
Application of Genetic Programming (GP) Formalism for Building Disease Predictive Models from Protein-Protein Interactions (PPI) Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Renu Vyas, Sanket Bapat, Purva Goel, Muthukumarasamy Karthikeyan, Sanjeev S. Tambe, Bhaskar D. Kulkarni
2016 J jnl
Building and analysis of protein-protein interactions related to diabetes mellitus using support vector machine, biomedical text mining and network analysis.
Comput. Biol. Chem.
Renu Vyas, Sanket Bapat, Esha Jain, Muthukumarasamy Karthikeyan, Sanjeev S. Tambe, Bhaskar D. Kulkarni
2010 J jnl
Hybrid Support Vector Machine for imbalanced data in multiclass arrhythmia classification.
Int. J. Funct. Informatics Pers. Medicine
Aniruddha J. Joshi, Sharat Chandran, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
2009 — conf
Hybrid SVM for Multiclass Arrhythmia Classification.
BIBM
Aniruddha J. Joshi, Sharat Chandran, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
2009 — conf
Identification of N-Glycosylation Sites with Sequence and Structural Features Employing Random Forests.
PReMI
Shreyas Karnik, Joydeep Mitra, Arunima Singh, Bhaskar D. Kulkarni, V. Sundarajan, Vaidyanathan K. Jayaraman
2008 — ch.
Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm.
Advances in Metaheuristics for Hard Optimization
Pankaj Kumar, Ankur Gupta, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2008 B conf
Arterial Pulse Rate Variability analysis for diagnoses.
ICPR
Aniruddha J. Joshi, Sharat Chandran, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2008 J jnl
Multicanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes.
Eur. J. Oper. Res.
P. S. Shelokar, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2008 B conf
Multifractality in arterial pulse.
ICPR
Aniruddha J. Joshi, Sharat Chandran, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2007 — conf
Fault Diagnosis Using Dynamic Time Warping.
PReMI
Rajshekhar, Ankur Gupta, Amar Nath Samanta, Bhaskar D. Kulkarni, Vaidyanathan K. Jayaraman
2007 — ch.
Feature Selection for Cancer Classification Using Ant Colony Optimization and Support Vector Machines.
Analysis of Biological Data: A Soft Computing Approach
Ankur Gupta, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
2007 — conf
Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Overexpression in Escherichia Coli.
PReMI
Pankaj Kumar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
2007 J jnl
Particle swarm and ant colony algorithms hybridized for improved continuous optimization.
Appl. Math. Comput.
P. S. Shelokar, Patrick Siarry, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2007 J jnl
Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM.
Pattern Recognit. Lett.
Piyushkumar A. Mundra, Madhan Kumar, K. Krishna Kumar, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2006 J jnl
A support vector machine-based method for predicting the propensity of a protein to be soluble or to form inclusion body on overexpression in
Bioinform.
Susan Idicula-Thomas, Abhijit J. Kulkarni, Bhaskar D. Kulkarni, Valadi K. Jayaraman, Petety V. Balaji
2005 J jnl
An SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples.
Pattern Recognit.
Rajiv Kumar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
2005 — conf
Arrhythmia Classification Using Local Hölder Exponents and Support Vector Machine.
PReMI
Aniruddha J. Joshi, Rajshekhar, Sharat Chandran, Sanjay Phadke, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
2005 J jnl
Identification of coding and non-coding sequences using local Hölder exponent formalism.
Bioinform.
Onkar C. Kulkarni, R. Vigneshwar, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2005 J jnl
Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process.
Comput. Chem. Eng.
Abhijit J. Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
2005 — conf
Process Monitoring and Fault Detection Using Curvilinear Component Analysis.
IICAI
U. S. Phulwale, B. Jeevankumar, S. U. Patel, Y. P. Badhe, Sanjeev S. Tambe, Bhaskar D. Kulkarni
2005 — conf
Support Vector Indentification of Light Induced Genes from Microarray Data Incorporating Motif Information.
IICAI
R. Vigneshwar, Onkar C. Kulkarni, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2004 J jnl
An ant colony classifier system: application to some process engineering problems.
Comput. Chem. Eng.
P. S. Shelokar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
2004 J jnl
Support vector classification with parameter tuning assisted by agent-based technique.
Comput. Chem. Eng.
Abhijit J. Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
2004 J jnl
Symbolization assisted SVM classifier for noisy data.
Pattern Recognit. Lett.
Rajiv Kumar, Abhijit J. Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
2003 J jnl
A Tabu Search Based Approach for Solving a Class of Bilevel Programming Problems in Chemical Engineering.
J. Heuristics
J. Rajesh, Kapil Gupta, Hari Shankar Kusumakar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
2003 J jnl
Artificial neural networks for prediction of mycobacterial promoter sequences.
Comput. Biol. Chem.
Rupali N. Kalate, Sanjeev S. Tambe, Bhaskar D. Kulkarni
2001 J jnl
Dynamic Optimization of Chemical Processes using Ant Colony Framework.
Comput. Chem.
J. Rajesh, Kapil Gupta, Hari Shankar Kusumakar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni
2000 J jnl
ANN Modeling of DNA Sequences: New Strategies using DNA Shape Code.
Comput. Chem.
Rupali V. Parbhane, Sanjeev S. Tambe, Bhaskar D. Kulkarni
2000 J jnl
Onset of resonance in chaotically driven systems.
Appl. Math. Lett.
R. Konnur, Valadi K. Jayaraman, Bhaskar D. Kulkarni
1998 J jnl
Analysis of DNA curvature using artificial neural networks.
Bioinform.
Rupali V. Parbhane, Sanjeev S. Tambe, Bhaskar D. Kulkarni
1995 J jnl
Analysis of transcription control signals using artificial neural networks.
Comput. Appl. Biosci.
T. M. Nair, Sanjeev S. Tambe, Bhaskar D. Kulkarni