Bhaskar D. Kulkarni

According to our database, Bhaskar D. Kulkarni authored at least 31 papers between 1995 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Application of Genetic Programming (GP) Formalism for Building Disease Predictive Models from Protein-Protein Interactions (PPI) Data.

Renu Vyas, Sanket Bapat, Purva Goel, Muthukumarasamy Karthikeyan, Sanjeev S. Tambe, Bhaskar D. Kulkarni

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

2016

Building and analysis of protein-protein interactions related to diabetes mellitus using support vector machine, biomedical text mining and network analysis.

Renu Vyas, Sanket Bapat, Esha Jain, Muthukumarasamy Karthikeyan, Sanjeev S. Tambe, Bhaskar D. Kulkarni

Comput. Biol. Chem., 2016

2010

Hybrid Support Vector Machine for imbalanced data in multiclass arrhythmia classification.

Aniruddha J. Joshi, Sharat Chandran, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni

Int. J. Funct. Informatics Pers. Medicine, 2010

2009

Identification of N-Glycosylation Sites with Sequence and Structural Features Employing Random Forests.

Shreyas Karnik, Joydeep Mitra, Arunima Singh, Bhaskar D. Kulkarni, V. Sundarajan, Vaidyanathan K. Jayaraman

Proceedings of the Pattern Recognition and Machine Intelligence, 2009

Hybrid SVM for Multiclass Arrhythmia Classification.

Aniruddha J. Joshi, Sharat Chandran, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008

Multicanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes.

P. S. Shelokar, Valadi K. Jayaraman, Bhaskar D. Kulkarni

Eur. J. Oper. Res., 2008

Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm.

Pankaj Kumar, Ankur Gupta, Valadi K. Jayaraman, Bhaskar D. Kulkarni

Proceedings of the Advances in Metaheuristics for Hard Optimization, 2008

Arterial Pulse Rate Variability analysis for diagnoses.

Aniruddha J. Joshi, Sharat Chandran, Valadi K. Jayaraman, Bhaskar D. Kulkarni

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Multifractality in arterial pulse.

Aniruddha J. Joshi, Sharat Chandran, Valadi K. Jayaraman, Bhaskar D. Kulkarni

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM.

Piyushkumar A. Mundra, Madhan Kumar, K. Krishna Kumar, Valadi K. Jayaraman, Bhaskar D. Kulkarni

Pattern Recognit. Lett., 2007

Particle swarm and ant colony algorithms hybridized for improved continuous optimization.

P. S. Shelokar, Patrick Siarry, Valadi K. Jayaraman, Bhaskar D. Kulkarni

Appl. Math. Comput., 2007

Fault Diagnosis Using Dynamic Time Warping.

Rajshekhar, Ankur Gupta, Amar Nath Samanta, Bhaskar D. Kulkarni, Vaidyanathan K. Jayaraman

Proceedings of the Pattern Recognition and Machine Intelligence, 2007

Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Overexpression in Escherichia Coli.

Pankaj Kumar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni

Proceedings of the Pattern Recognition and Machine Intelligence, 2007

Feature Selection for Cancer Classification Using Ant Colony Optimization and Support Vector Machines.

Ankur Gupta, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni

Proceedings of the Analysis of Biological Data: A Soft Computing Approach, 2007

2006

A support vector machine-based method for predicting the propensity of a protein to be soluble or to form inclusion body on overexpression in <i>Escherichia coli</i>.

Susan Idicula-Thomas, Abhijit J. Kulkarni, Bhaskar D. Kulkarni, Valadi K. Jayaraman, Petety V. Balaji

Bioinform., 2006

2005

An SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples.

Rajiv Kumar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni

Pattern Recognit., 2005

Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process.

Abhijit J. Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni

Comput. Chem. Eng., 2005

Identification of coding and non-coding sequences using local Hölder exponent formalism.

Onkar C. Kulkarni, R. Vigneshwar, Valadi K. Jayaraman, Bhaskar D. Kulkarni

Bioinform., 2005

Arrhythmia Classification Using Local Hölder Exponents and Support Vector Machine.

Aniruddha J. Joshi, Rajshekhar, Sharat Chandran, Sanjay Phadke, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni

Proceedings of the Pattern Recognition and Machine Intelligence, 2005

Support Vector Indentification of Light Induced Genes from Microarray Data Incorporating Motif Information.

R. Vigneshwar, Onkar C. Kulkarni, Valadi K. Jayaraman, Bhaskar D. Kulkarni

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Process Monitoring and Fault Detection Using Curvilinear Component Analysis.

U. S. Phulwale, B. Jeevankumar, S. U. Patel, Y. P. Badhe, Sanjeev S. Tambe, Bhaskar D. Kulkarni

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

2004

Symbolization assisted SVM classifier for noisy data.

Rajiv Kumar, Abhijit J. Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni

Pattern Recognit. Lett., 2004

An ant colony classifier system: application to some process engineering problems.

P. S. Shelokar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni

Comput. Chem. Eng., 2004

Support vector classification with parameter tuning assisted by agent-based technique.

Abhijit J. Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni

Comput. Chem. Eng., 2004

2003

A Tabu Search Based Approach for Solving a Class of Bilevel Programming Problems in Chemical Engineering.

J. Rajesh, Kapil Gupta, Hari Shankar Kusumakar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni

J. Heuristics, 2003

Artificial neural networks for prediction of mycobacterial promoter sequences.

Rupali N. Kalate, Sanjeev S. Tambe, Bhaskar D. Kulkarni

Comput. Biol. Chem., 2003

2001

Dynamic Optimization of Chemical Processes using Ant Colony Framework.

J. Rajesh, Kapil Gupta, Hari Shankar Kusumakar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni

Comput. Chem., 2001

2000

ANN Modeling of DNA Sequences: New Strategies using DNA Shape Code.

Rupali V. Parbhane, Sanjeev S. Tambe, Bhaskar D. Kulkarni

Comput. Chem., 2000

Onset of resonance in chaotically driven systems.

R. Konnur, Valadi K. Jayaraman, Bhaskar D. Kulkarni

Appl. Math. Lett., 2000

1998

Analysis of DNA curvature using artificial neural networks.

Rupali V. Parbhane, Sanjeev S. Tambe, Bhaskar D. Kulkarni

Bioinform., 1998

1995

Analysis of transcription control signals using artificial neural networks.

T. M. Nair, Sanjeev S. Tambe, Bhaskar D. Kulkarni

Comput. Appl. Biosci., 1995