EcologyEcological InformaticsPeer-reviewed
An explainable machine learning consensus framework for robust estimations of environmental effects on population dynamics
Anuradha Dhananjanie, Helen Thompson, Julie Vercelloni, David James Warne
This paper develops a framework to assess explainable ML sensitivity by comparing consensus across model architectures, using synthetic coral data to demonstrate its utility in ecological modeling.
DOI 10.1016/j.ecoinf.2026.104118