A benchmark dataset for machine learning in ecotoxicology

The use of machine learning for predicting ecotoxicological outcomes is promising, but underutilized. The curation of data with informative features requires both expertise in machine learning as well as a strong biological and ecotoxicological background, which we consider a barrier of entry for th...

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Detalles Bibliográficos
Autores principales: Schür, Christoph, Gasser, Lilian, Perez-Cruz, Fernando, Schirmer, Kristin, Baity-Jesi, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584858/
https://www.ncbi.nlm.nih.gov/pubmed/37853023
http://dx.doi.org/10.1038/s41597-023-02612-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584858/
https://www.ncbi.nlm.nih.gov/pubmed/37853023
http://dx.doi.org/10.1038/s41597-023-02612-2

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