Computational intelligence modeling of hyoscine drug solubility and solvent density in supercritical processing: gradient boosting, extra trees, and random forest models

Expected and estimated values (ADA + GPR).

Computational intelligence modeling of hyoscine drug solubility

Computational intelligence modeling using Artificial Intelligence

Exploring the aggregation behaviour and antibiotic binding ability

PDF] Ensembles of extremely randomized trees and some generic

Performance comparison between KPCA and other feature selection

Computational simulation and target prediction studies of

Summary of statistical measures of the results of modeling

PDF) Computational intelligence modeling of hyoscine drug

Boosting the predictive performance with aqueous solubility

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