most citedComparison of Different Machine Learning Approaches to Predict Viscosity of Tri-n-Butyl Phosphate Mixtures Using Experimental Data

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.LG2026

Asymmetric Focal Loss Improves Graph Neural Network Prediction of Drug-Drug Interactions

Faranak Hatami, Mousa Moradi

Background: Graph neural networks improve computational prediction of polypharmacy side effects, but standard binary cross-entropy training allocates equal capacity to well-classif…

physics.comp-ph2023★ 1 cited

Comparison of Different Machine Learning Approaches to Predict Viscosity of Tri-n-Butyl Phosphate Mixtures Using Experimental Data

Faranak Hatami, Mousa Moradi

Tri-n-butyl phosphate (TBP) is a solvent that is commonly used in a variety of industries, including the nuclear and chemical industries, for its ability to dissolve and purify var…