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Data do documentoTítuloAutor(es)
Jun-2010Prediction of the Hildebrand parameter of various solvents using linear and nonlinear approachesGoodarzi, Mohammad; Duchowicz, Pablo R.; Freitas, Matheus P.; Fernández, Francisco M.
Out-2009Prediction of 13C chemical shifts in methoxyflavonol derivatives using MIA-QSPRGoodarzi, Mohammad; Freitas, Matheus P.; Ramalho, Teodorico C.
Ago-2009Principal component analysis-adaptive neuro-fuzzy inference systems (ANFIS) for the simultaneous spectrophotometric determination of three metals in water samplesGoodarzi, Mohammad; Olivieri, Alejandro C.; Freitas, Matheus P.
Out-2011Linear and nonlinear QSAR modeling of the HIV-1 reverse transcriptase inhibiting activities of thiocarbamatesGoodarzi, Mohammad; Freitas, Matheus P.; Heyden, Yvan Vander
Dez-2010QSPR predictions of heat of fusion of organic compounds using bayesian regularized artificial neural networksGoodarzi, Mohammad; Chen, Tao; Freitas, Matheus P.
Abr-2010MIA-QSAR coupled to principal component analysis-adaptive neuro-fuzzy inference systems (PCA-ANFIS) for the modeling of the anti-HIV reverse transcriptase activities of TIBO derivativesGoodarzi, Mohammad; Freitas, Matheus P.
Abr-2009Feature selection and linear/non-linear regression methods for the accurate prediction of glycogen synthase kinase-3β inhibitory activitiesGoodarzi, Mohammad; Freitas, Matheus P.; Jensen, Richard
Nov-2010PLS and N-PLS-based MIA-QSTR modeling of the acute toxicities of phenylsulfonyl carboxylates to Vibrio fischeriGoodarzi, Mohammad; Freitas, Matheus P.
Abr-2010pKa modeling and prediction of a series of pH indicators through genetic algorithm-least square support vector regressionGoodarzi, Mohammad; Freitas, Matheus P.; Wu, Chih H.; Duchowicz, Pablo R.
Ago-2009Prediction of electrophoretic enantioseparation of aromatic amino acids/esters through MIA-QSPRGoodarzi, Mohammad; Freitas, Matheus P.