%0 Journal Article
%1 hastings2021learning
%A Hastings, Janna
%A Glauer, Martin
%A Memariani, Adel
%A Neuhaus, Fabian
%A Mossakowski, Till
%D 2021
%J Journal of Cheminformatics
%K classification learning myown ontology
%N 23
%R https://doi.org/10.1186/s13321-021-00500-8
%T Learning chemistry: exploring the suitability of machine learning for the task of structure-based chemical ontology classification.
%U https://jcheminf.biomedcentral.com/track/pdf/10.1186/s13321-021-00500-8.pdf
%V 13
@article{hastings2021learning,
added-at = {2021-03-20T10:24:21.000+0100},
author = {Hastings, Janna and Glauer, Martin and Memariani, Adel and Neuhaus, Fabian and Mossakowski, Till},
biburl = {https://www.bibsonomy.org/bibtex/2525a75040cf29dc07b35d5577250c6f4/tillmo},
doi = {https://doi.org/10.1186/s13321-021-00500-8},
interhash = {e35748e1a3f09c42bab2ca5302c7b4bd},
intrahash = {525a75040cf29dc07b35d5577250c6f4},
journal = {Journal of Cheminformatics},
keywords = {classification learning myown ontology},
number = 23,
timestamp = {2021-12-15T20:55:48.000+0100},
title = {Learning chemistry: exploring the suitability of machine learning for the task of structure-based chemical ontology classification.},
url = {https://jcheminf.biomedcentral.com/track/pdf/10.1186/s13321-021-00500-8.pdf},
volume = 13,
year = 2021
}