Active Filters

  • (-) Eawag Authors = Schür, Christoph A.
Search Results 1 - 4 of 4
  • RSS Feed
Select Page
Machine learning-based prediction of fish acute mortality: implementation, interpretation, and regulatory relevance
Gasser, L., Schür, C., Perez-Cruz, F., Schirmer, K., & Baity-Jesi, M. (2024). Machine learning-based prediction of fish acute mortality: implementation, interpretation, and regulatory relevance. Environmental Science: Advances, 3(8), 1124-1138. https://doi.org/10.1039/d4va00072b
Green Swans countering chemical pollution
Posthuma, L., Bloor, M., Campos, B., Groh, K., Leopold, A., Sanderson, H., … Thomas, P. (2024). Green Swans countering chemical pollution. Integrated Environmental Assessment and Management, 20(3), 888-891. https://doi.org/10.1002/ieam.4915
A benchmark dataset for machine learning in ecotoxicology
Schür, C., Gasser, L., Perez-Cruz, F., Schirmer, K., & Baity-Jesi, M. (2023). A benchmark dataset for machine learning in ecotoxicology. Scientific Data, 10(1), 718 (20 pp.). https://doi.org/10.1038/s41597-023-02612-2
Effects of microplastics mixed with natural particles on <em>Daphnia magna</em> populations
Schür, C., Beck, J., Lambert, S., Scherer, C., Oehlmann, J., & Wagner, M. (2023). Effects of microplastics mixed with natural particles on Daphnia magna populations. Science of the Total Environment, 903, 166521 (8 pp.). https://doi.org/10.1016/j.scitotenv.2023.166521