Nature

Differences in learning characteristics between support vector machine and random forest models for compound classification revealed by Shapley value analysis

In pharmaceutical research, machine learning (ML) methods have become increasingly important to address challenging tasks including, among others, the identification of drug-like active compounds, ...
Nature

Rapid simulation for real-time flood depth prediction using support vector machine

Local Intensive Precipitation (LIP), intensified by climate change, has increasingly caused severe urban flooding. Although traditional hydrodynamic models such as SWMM and FLO-2D offer high accuracy ...