{"type":"conference","year":"2021","date_updated":"2021-11-10T12:25:53Z","publication":"Referate der 41. GIL-Jahrestagung","user_id":"216274","_id":"1531","publication_status":"published","title":"Deep Learning in palynology – A use case for automated visual classification of pollen grains from honey samples","date_created":"2021-11-10T12:09:04Z","conference":{"start_date":"08.03.2021","end_date":"09.03.2021","location":"Potsdam","name":"Informations- und Kommunikationstechnologien in kritischen Zeiten"},"status":"public","language":[{"iso":"eng"}],"citation":{"apa":"Viertel, P., &#38; König, M. (2021). Deep Learning in palynology – A use case for automated visual classification of pollen grains from honey samples. In Gesellschaft für Informatik (Ed.), <i>Referate der 41. GIL-Jahrestagung</i> (pp. 331–336). Potsdam.","short":"P. Viertel, M. König, in: Gesellschaft für Informatik (Ed.), Referate Der 41. GIL-Jahrestagung, 2021, pp. 331–336.","mla":"Viertel, Philipp, and Matthias König. “Deep Learning in Palynology – A Use Case for Automated Visual Classification of Pollen Grains from Honey Samples.” <i>Referate Der 41. GIL-Jahrestagung</i>, edited by Gesellschaft für Informatik, 2021, pp. 331–36.","ama":"Viertel P, König M. Deep Learning in palynology – A use case for automated visual classification of pollen grains from honey samples. In: Gesellschaft für Informatik, ed. <i>Referate Der 41. GIL-Jahrestagung</i>. ; 2021:331-336.","alphadin":"<span style=\"font-variant:small-caps;\">Viertel, Philipp</span> ; <span style=\"font-variant:small-caps;\">König, Matthias</span>: Deep Learning in palynology – A use case for automated visual classification of pollen grains from honey samples. In: <span style=\"font-variant:small-caps;\">Gesellschaft für Informatik</span> (Hrsg.): <i>Referate der 41. GIL-Jahrestagung</i>, 2021, S. 331–336","chicago":"Viertel, Philipp, and Matthias König. “Deep Learning in Palynology – A Use Case for Automated Visual Classification of Pollen Grains from Honey Samples.” In <i>Referate Der 41. GIL-Jahrestagung</i>, edited by Gesellschaft für Informatik, 331–36, 2021.","bibtex":"@inproceedings{Viertel_König_2021, title={Deep Learning in palynology – A use case for automated visual classification of pollen grains from honey samples}, booktitle={Referate der 41. GIL-Jahrestagung}, author={Viertel, Philipp and König, Matthias}, editor={Gesellschaft für InformatikEditor}, year={2021}, pages={331–336} }","ieee":"P. Viertel and M. König, “Deep Learning in palynology – A use case for automated visual classification of pollen grains from honey samples,” in <i>Referate der 41. GIL-Jahrestagung</i>, Potsdam, 2021, pp. 331–336."},"publication_identifier":{"isbn":["978-3-88579-703-6"]},"author":[{"id":"216274","last_name":"Viertel","full_name":"Viertel, Philipp","first_name":"Philipp"},{"id":"213498","last_name":"König","first_name":"Matthias","full_name":"König, Matthias"}],"page":"331-336","department":[{"_id":"102"}],"corporate_editor":["Gesellschaft für Informatik"]}