Deep Learning with Data Limitations: A Use Case of Predicting Inhibition Efficiencies for Magnesium Dissolution Modulators

conference lecture

No abstract available.

URL: https://publications.hereon.de/id/51484/
Authors:Schiessler, E.J., Würger, T., Vaghefinazari, B., Lamaka, S.V., Meißner, R.H., Cyron, C.J., Zheldukevich, M.L., Feiler, C., Aydin, R.C.
Year:2023
In: Helmholtz AI Conference 2023
Location:Hamburg (DEU)
Type:conference lecture
Cite as: Schiessler, E.; Würger, T.; Vaghefinazari, B.; Lamaka, S.; Meißner, R.; Cyron, C.; Zheldukevich, M.; Feiler, C.; Aydin, R.: Deep Learning with Data Limitations: A Use Case of Predicting Inhibition Efficiencies for Magnesium Dissolution Modulators. Helmholtz AI Conference 2023. Hamburg (DEU), 2023.