[{"user_id":"220548","corporate_editor":["Gesellschaft für Informatik"],"main_file_link":[{"url":"https://dl.gi.de/items/65681cbc-370c-4480-b3c1-9fd724f84c56"}],"alternative_id":["1289"],"type":"conference","publication_identifier":{"isbn":["978-3-88579-703-6"]},"publication":"Referate der 41. GIL-Jahrestagung","publication_status":"published","department":[{"_id":"102"}],"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","language":[{"iso":"eng"}],"year":"2021","_id":"1531","conference":{"start_date":"2021-03-08","end_date":"2021-03-09","location":"Potsdam, Online","name":"Informations- und Kommunikationstechnologien in kritischen Zeiten"},"status":"public","place":"Bonn","author":[{"first_name":"Philipp","id":"216274","last_name":"Viertel","orcid":"0000-0002-7274-4290","full_name":"Viertel, Philipp"},{"first_name":"Matthias","id":"213498","last_name":"König","orcid":"0000-0002-4915-0750","full_name":"König, Matthias"}],"citation":{"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, Online, 2021, pp. 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>. Bonn, 2021, S. 331–336","bibtex":"@inproceedings{Viertel_König_2021, place={Bonn}, 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} }","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). Bonn.","short":"P. Viertel, M. König, in: Gesellschaft für Informatik (Ed.), Referate Der 41. GIL-Jahrestagung, Bonn, 2021, pp. 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. Bonn, 2021.","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>. Bonn; 2021:331-336."},"page":"331-336","date_updated":"2026-03-17T15:28:22Z"}]