Bhaskar D. Kulkarni - researchr alias

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Viewing Publication 1 - 31 from 31

2018

Application of Genetic Programming (GP) Formalism for Building Disease Predictive Models from Protein-Protein Interactions (PPI) DataRenu Vyas, Sanket Bapat, Purva Goel, Muthukumarasamy Karthikeyan, Sanjeev S. Tambe, Bhaskar D. Kulkarni. tcbb, 15(1):27-37, 2018. [doi]

2016

Building and analysis of protein-protein interactions related to diabetes mellitus using support vector machine, biomedical text mining and network analysisRenu Vyas, Sanket Bapat, Esha Jain, Muthukumarasamy Karthikeyan, Sanjeev S. Tambe, Bhaskar D. Kulkarni. CANDC, 65:37-44, 2016. [doi]

2010

Hybrid Support Vector Machine for imbalanced data in multiclass arrhythmia classificationAniruddha J. Joshi, Sharat Chandran, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni. ijfipm, 3(1):29-47, 2010. [doi]

2009

Hybrid SVM for Multiclass Arrhythmia ClassificationAniruddha J. Joshi, Sharat Chandran, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni. bibm 2009: 287-290 [doi]

Identification of N-Glycosylation Sites with Sequence and Structural Features Employing Random ForestsShreyas Karnik, Joydeep Mitra, Arunima Singh, Bhaskar D. Kulkarni, V. Sundarajan, Vaidyanathan K. Jayaraman. premi 2009: 146-151 [doi]

2008

2007

Feature Selection for Cancer Classification Using Ant Colony Optimization and Support Vector MachinesAnkur Gupta, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni. In Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason Tsong-Li Wang, editors, Analysis of Biological Data: A Soft Computing Approach. pages 259-280, World Scientific, 2007.

Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Overexpression in Escherichia ColiPankaj Kumar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni. premi 2007: 406-415 [doi]

Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSMPiyushkumar A. Mundra, Madhan Kumar, K. Krishna Kumar, Valadi K. Jayaraman, Bhaskar D. Kulkarni. prl, 28(13):1610-1615, 2007. [doi]

Fault Diagnosis Using Dynamic Time WarpingRajshekhar, Ankur Gupta, A. N. Samanta, Bhaskar D. Kulkarni, Vaidyanathan K. Jayaraman. premi 2007: 57-66 [doi]

Particle swarm and ant colony algorithms hybridized for improved continuous optimizationP. S. Shelokar, Patrick Siarry, Valadi K. Jayaraman, Bhaskar D. Kulkarni. amc, 188(1):129-142, 2007. [doi]

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 ::::Escherichia coli::::Susan Idicula-Thomas, Abhijit J. Kulkarni, Bhaskar D. Kulkarni, Valadi K. Jayaraman, Petety V. Balaji. bioinformatics, 22(3):278-284, 2006. [doi]

2005

Arrhythmia Classification Using Local Hölder Exponents and Support Vector MachineAniruddha J. Joshi, Rajshekhar, Sharat Chandran, Sanjay Phadke, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni. premi 2005: 242-247 [doi]

Identification of coding and non-coding sequences using local Hölder exponent formalismOnkar C. Kulkarni, R. Vigneshwar, Valadi K. Jayaraman, Bhaskar D. Kulkarni. bioinformatics, 21(20):3818-3823, 2005. [doi]

Knowledge incorporated support vector machines to detect faults in Tennessee Eastman ProcessAbhijit Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni. cce, 29(10):2128-2133, 2005. [doi]

An SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examplesRajiv Kumar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni. PR, 38(1):41-49, 2005. [doi]

Process Monitoring and Fault Detection Using Curvilinear Component AnalysisU. S. Phulwale, B. Jeevankumar, S. U. Patel, Y. P. Badhe, Sanjeev S. Tambe, Bhaskar D. Kulkarni. iicai 2005: 856-866

Support Vector Indentification of Light Induced Genes from Microarray Data Incorporating Motif InformationR. Vigneshwar, Onkar C. Kulkarni, Valadi K. Jayaraman, Bhaskar D. Kulkarni. iicai 2005: 1565-1575

2004

Support vector classification with parameter tuning assisted by agent-based techniqueAbhijit Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni. cce, 28(3):311-318, 2004. [doi]

Symbolization assisted SVM classifier for noisy dataRajiv Kumar, Abhijit Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni. prl, 25(4):495-504, 2004. [doi]

An ant colony classifier system: application to some process engineering problemsP. S. Shelokar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni. cce, 28(9):1577-1584, 2004. [doi]

2003

Artificial neural networks for prediction of mycobacterial promoter sequencesRupali N. Kalate, Sanjeev S. Tambe, Bhaskar D. Kulkarni. CANDC, 27(6):555-564, 2003. [doi]

A Tabu Search Based Approach for Solving a Class of Bilevel Programming Problems in Chemical EngineeringJ. Rajesh, Kapil Gupta, Hari Shankar Kusumakar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni. heuristics, 9(4):307-319, 2003.

2001

Dynamic Optimization of Chemical Processes using Ant Colony FrameworkJ. Rajesh, Kapil Gupta, Hari Shankar Kusumakar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni. CANDC, 25(6):583-595, 2001. [doi]

2000

Onset of resonance in chaotically driven systemsR. Konnur, Valadi K. Jayaraman, Bhaskar D. Kulkarni. appml, 13(8):69-75, 2000. [doi]

ANN Modeling of DNA Sequences: New Strategies using DNA Shape CodeRupali V. Parbhane, Sanjeev S. Tambe, Bhaskar D. Kulkarni. CANDC, 24(6):699-711, 2000. [doi]

1998

Analysis of DNA curvature using artificial neural networksRupali V. Parbhane, Sanjeev S. Tambe, Bhaskar D. Kulkarni. bioinformatics, 14(2):131-138, 1998.

1995

Analysis of transcription control signals using artificial neural networksT. M. Nair, Sanjeev S. Tambe, Bhaskar D. Kulkarni. bioinformatics, 11(3):293-300, 1995.

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Publications by 'Bhaskar D. Kulkarni'

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1998

1995

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