Support vector machine

  1. Facial-video heart rate variability modestly distinguished depressive symptoms
    Stacking ensemble classifier combines facial video-derived heart rate variability with demographics to screen depression with moderate discrimination. AUROC 0.64 achieved across 1453 individuals.
  2. Dynamic Graph Generation from Excel Using Machine Learning Algorithm Data Visualization Dashboard
    Automated pipeline for converting Excel spreadsheets to dynamic, publication-quality visualizations using machine learning chart recommendation and interactive dashboard functionality.
  3. Hybrid VAR models improved forecasting for several macroeconomic indicators
    Study integrates VAR models with machine learning algorithms to forecast macroeconomic variables across African economies, demonstrating improved accuracy for inflation and FDI dynamics.
  4. Explainable models predicted dynamic responses of LPBF A286 lattices
    Explainable machine learning framework for predicting dynamic mechanical responses of LPBF-fabricated A286 lattice structures under high-strain-rate impact testing with interpretable design rules.