@conference { ISI:000252140200050,
	title = {Granular support vector machine based method for prediction of solubility of proteins on overexpression in Escherichia coli},
	booktitle = {Pattern Recognition and Machine Intelligence, Proceedings},
	series = {LECTURE NOTES IN COMPUTER SCIENCE},
	volume = {4815},
	year = {2007},
	note = {2nd International Conference on Pattern Recognition and Machine Intelligence, Calcutta, INDIA, DEC 18-22, 2007},
	month = {DEC},
	pages = {406-415},
	publisher = {Indian Stat Inst, Machine Intelligence Univ; ISI Ctr Soft Comp Res; Int Assoc Pattern Recognit; Int Ctr Pure \& Appl Math; Web Intelligence Consortium; Yahoo India Res \& Dev; Philips Res Asia},
	organization = {Indian Stat Inst, Machine Intelligence Univ; ISI Ctr Soft Comp Res; Int Assoc Pattern Recognit; Int Ctr Pure \& Appl Math; Web Intelligence Consortium; Yahoo India Res \& Dev; Philips Res Asia},
	address = {Heidelberger Platz 3, D-14197 Berlin, Germany},
	abstract = {<p>We employed a granular support vector Machines(GSVM) for prediction of soluble proteins on over expression in Escherichia coli. Granular computing splits the feature space into a set of subspaces (or information granules) such as classes, subsets, clusters and intervals [14]. By the principle of divide and conquer it decomposes a. bigger complex problem into smaller and computationally simpler problems. Each of the granules is then solved independently and all the results are aggregated to form the final solution. For the purpose of granulation association rules was employed. The results indicate that a difficult imbalanced classification problem can be successfully solved by employing GSVM.</p>},
	isbn = {978-3-540-77045-9},
	issn = {0302-9743},
	author = {Kumar, Pankaj and Jayaraman, Valadi K. and Kulkarni, B. D.},
	editor = {Ghosh, A. and De, R. K. and Pal, S. K.}
}
@article {43918,
	title = {Genetic programming based drag model with improved prediction accuracy for fluidization systems},
	journal = {International journal of  Chemical Reactor Engineering},
	volume = {15},
	year = {2017},
	month = {APR},
	issn = {2016-0210},
	doi = {10.1515/ijcre-2016-0210},
	author = {Sonolikar, R. R. and Patil, M. P. and Mankar, R. B. and Tambe, S. S. and Kulkarni, B. D.}
}
