Regression

  1. Atlantic δ13CDIC reconstructed with machine learning
    Gaussian Process Regression reconstructs stable carbon isotope composition of dissolved inorganic carbon in the Atlantic Ocean, expanding historical data coverage 7.65-fold.
  2. Sentinel-2 chlorophyll-a algorithms performed best after adjustment
    Evaluating Sentinel-2 chlorophyll-a algorithms for Thai freshwater eutrophication monitoring. Tropical-specific models improve satellite imagery accuracy compared to temperate region approaches.
  3. hsa-miR-96-5p validated as a reference for vitreous humor PMI estimation
    Validation of hsa-miR-96-5p as a stable endogenous reference gene for qPCR-based post-mortem interval estimation in vitreous humor forensic analysis.
  4. Polyvariate regression outperforms difference scores for affective polarization
    Critique of difference score methodology in affective polarization research with polyvariate regression as superior alternative for studying partisan affect and policy attitudes.
  5. 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.