Predictive machine learning for gully susceptibility modeling with geo?environmental covariates: main drivers, model performance, and computational efciency

Phinzi, KwaneleSzabó, Szilárd2024-03-132024-03-132024Natural Hazards. -[Epub ahead of print] : - (2024), p. -. -Nat. Hazards. - 0921-030X0921-030Xhttps://hdl.handle.net/2437/367488Predictive machine learning for gully susceptibility modeling with geo?environmental covariates: main drivers, model performance, and computational efciencyfolyóiratcikkopen access articlehttps://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM119435TermészettudományokFöldtudományokhttps://link.springer.com/10.1007/s11069-024-06481-9Szerzőhttp://dx.doi.org/10.1007/s11069-024-06481-92024-03-13