Research output

1. Increasing the informativeness of performance assessment of predictive models of heavy metal spatial distributions in the topsoil by permutation approach

   Research output: Contribution to journal › Article › peer-review

2. A permutation approach to evaluating the performance of a forecasting model of methane content in the atmospheric surface layer of arctic region

   Research output: Contribution to journal › Article › peer-review

3. Evaluation of the Models of Copper Spatial Distribution in the Surface Layer of the Soil Based on Artificial Neural Networks by the Permutation Method

   Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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