biblio
, “Arrhythmia classification using local Holder exponents and support vector machine”, in 1st International Conference on Pattern Recognition and Machine Intelligence, Statist Inst. Kolkata, India, 2005, vol. 3776, pp. 242-247.
, “Identification of coding and non-coding sequences using local holder exponent formalism”, Bioinformatics, vol. 21, no. 20, pp. 3818-3823, 2005.
, “Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process”, Computers & Chemical Engineering, vol. 29, no. 10, pp. 2128-2133, 2005.
, “Regression models using pattern search assisted least square support vector machines”, Chemical Engineering Research and Design, vol. 83, no. 8, pp. 1030-1037, 2005.
, “SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples”, Pattern Recognition, vol. 38, no. 1, pp. 41-49, 2005.
, “Improved time series prediction with a new method for selection of model parameters”, Journal of Physics A-Mathematical and General, vol. 39, no. 30, pp. L483-L491, 2006.
, “Data-driven dynamic modeling and control of a surface aeration system”, Industrial & Engineering Chemistry Research, vol. 46, no. 25, pp. 8607-8613, 2007.
, “Development of support vector regression (SVR)-based correlation for prediction of overall gas hold-up in bubble column reactors for various gas-liquid systems”, Chemical Engineering Science, vol. 62, no. 24, pp. 7078-7089, 2007.
, “Fault diagnosis using dynamic time warping”, in Pattern Recognition and Machine Intelligence, Proceedings, Heidelberger Platz 3, D-14197 Berlin, Germany, 2007, vol. 4815, pp. 57-66.
, “Granular support vector machine based method for prediction of solubility of proteins on overexpression in Escherichia coli”, in Pattern Recognition and Machine Intelligence, Proceedings, Heidelberger Platz 3, D-14197 Berlin, Germany, 2007, vol. 4815, pp. 406-415.
, “Using pseudo amino acid composition to predict protein subnuclear localization: approached with PSSM”, Pattern Recognition Letters, vol. 28, no. 13, pp. 1610-1615, 2007.
, “Using recurrence quantification analysis descriptors for protein sequence classification with support vector machines”, Journal of Biomolecular Structure & Dynamics, vol. 25, no. 3, pp. 289-297, 2007.
, “Multicanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes”, European Journal of Operational Research, vol. 185, no. 3, pp. 1213-1229, 2008.
, “Optimal xylanase production using Penicilium janthinellum NCIM 1169: a model based approach”, Biochemical Engineering Journal, vol. 40, no. 2, pp. 348-356, 2008.
, “SVR-based prediction of point gas hold-up for bubble column reactor through recurrence quantification analysis of LDA time-series”, International Journal of Multiphase Flow, vol. 34, no. 12, pp. 1099-1107, 2008.
, “Development of correlations for overall gas hold-up, volumetric mass transfer coefficient, and effective interfacial area in bubble column reactors using hybrid genetic algorithm-support vector regression technique: viscous newtonian and non-newtonian liq”, Industrial & Engineering Chemistry Research, vol. 48, pp. 9631-9654, 2009.
, “Development of unified correlations for volumetric mass-transfer coefficient and effective interfacial area in bubble column reactors for various gas-liquid systems using support vector regression”, Industrial & Engineering Chemistry Research, vol. 48, no. 9, pp. 4216-4236, 2009.
, “Feature selection and classification employing hybrid ant colony optimization/random forest methodology”, Combinatorial Chemistry & High Throughput Screening, vol. 12, no. 5, pp. 507-513, 2009.
, “Festschrift in Honor of Dr. B. D. Kulkarni”, Industrial & Engineering Chemistry Research, vol. 48, no. 21, pp. 9355-9356, 2009.
, “Identification of defensins employing recurrence quantification analysis and random forest classifiers”, Pattern Recognition and Machine Intelligence, Proceedings, vol. 5909, pp. 152-157, 2009.
, “Identification of N-glycosylation sites with sequence and structural features employing random forests”, Pattern Recognition and Machine Intelligence, Proceedings, vol. 5909, pp. 146-151, 2009.
, “Quantitative structure-property relationship (QSPR) prediction of liquid viscosities of pure organic compounds employing random forest regression”, Industrial & Engineering Chemistry Research, vol. 48, no. 21, pp. 9708-9712, 2009.
, “Review on lazy learning regressors and their applications in QSAR”, Combinatorial Chemistry & High Throughput Screening, vol. 12, no. 4, pp. 440-450, 2009.