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

Novel Solubility Prediction Models: Molecular Fingerprints and

Molecules, Free Full-Text

Application of machine learning techniques to the modeling of

Advanced AI modeling and optimization for determination of

Computational intelligence modeling using Artificial Intelligence

Pushing the limits of solubility prediction via quality-oriented

Illustration of supervised learning algorithms. (A) Relationship

Advancing Computational Toxicology by Interpretable Machine

Data distribution, P (pressure), T (temperature), and Y

Computational simulation and target prediction studies of

Performance comparison between KPCA and other feature selection

Machine learning with physicochemical relationships: solubility