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Conference Paper
D. Verma, Goel, P., Patil-Shinde, V., and Tambe, S. S., “Use genetic programming for selecting predictor variables and modeling in process identification”, in 2016 Indian Control Conference (ICC), 345 E 47th ST, New York, NY 10017 USA, 2016, pp. 230-237.
Journal Article
R. Vyas, Bapat, S., Goel, P., Karthikeyan, M., Tambe, S. S., and Kulkarni, B. D., “Application of genetic programming (GP) formalism for building disease predictive models from protein-protein interactions (PPI) data”, IEEE-ACM Transactions on Computational Biology and Bioinformatics, vol. 15, no. 1, pp. 27-37, 2018.
P. Goel, Bapat, S., Vyas, R., Tambe, A., and Tambe, S. S., “Genetic programming based quantitative structure-retention relationships for the prediction of Kovats retention indices”, Journal of Chromatography A, vol. 1420, pp. 98-109, 2015.
R. Vyas, Goel, P., Karthikeyan, M., Tambe, S. S., and Kulkarni, B. D., “Pharmacokinetic modeling of caco-2 cell permeability using genetic programming (GP) method”, Letters in Drug Design & Discovery, vol. 11, no. 9, pp. 1112-1118, 2014.
P. Goel, Saurabh, K., Patil-Shinde, V., and Tambe, S. S., “Prediction of degrees API values of crude oils by use of saturates/aromatics/resins/ asphaltenes analysis: computational-intelligence-based models”, SPE Journal, vol. 22, no. 3, pp. 817-853, 2017.