Surendra Balraadjsing
Promovendus
- Naam
- Mr. S. Balraadjsing MSc
- Telefoon
- +31 71 527 2727
- s.balraadjsing@cml.leidenuniv.nl
- ORCID iD
- 0000-0003-2167-8163
Zie meer informatie op de Engelse versie
Promovendus
- Wiskunde en Natuurwetenschappen
- Centrum voor Milieuwetenschappen Leiden
- CML/Environmental Biology
- Zhou Y., Wang Y., Peijnenburg W.J.G.M., Vijver M.G., Balraadjsing S., Dong Z., Zhao X., Leung K.M.Y., Mortensen H.M., Wang Z., Lynch I., Afantitis A., Mu Y., Wu F & Fan W. (2024), Application of machine learning in nanotoxicology: a critical review and perspective, Environmental Science and Technology 58(34): 14973–14993.
- Balraadjsing S., Peijnenburg W.J.G.M. & Vijver M.G. (2024), Building species trait-specific nano-QSARs: model stacking, navigating model uncertainties and limitations, and the effect of dataset size, Environment International 188: 108764.
- Zhou Y., Wang Y., Peijnenburg W.J.G.M., Vijver M.G., Balraadjsing S. & Fan W. (2023), Using machine learning to predict adverse effects of metallic nanomaterials to various aquatic organisms, Environmental Science and Technology 57(46): 17786-17795.
- Balraadjsing S., Peijnenburg W.J.G.M. & Vijver M.G. (2022), Exploring the potential of in silico machine learning tools for the prediction of acute Daphnia magna nanotoxicity, Chemosphere 307(2): 135930.