%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 }