{"publication_status":"published","year":"2021","corporate_editor":["Gesellschaft für Informatik"],"publication":"Referate der 41. GIL-Jahrestagung","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","user_id":"220548","citation":{"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} }","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. Referate Der 41. GIL-Jahrestagung. Bonn; 2021:331-336.","mla":"Viertel, Philipp, and Matthias König. “Deep Learning in Palynology – A Use Case for Automated Visual Classification of Pollen Grains from Honey Samples.” Referate Der 41. GIL-Jahrestagung, edited by Gesellschaft für Informatik, 2021, pp. 331–36.","short":"P. Viertel, M. König, in: Gesellschaft für Informatik (Ed.), Referate Der 41. GIL-Jahrestagung, Bonn, 2021, pp. 331–336.","alphadin":"Viertel, Philipp ; König, Matthias: Deep Learning in palynology – A use case for automated visual classification of pollen grains from honey samples. In: Gesellschaft für Informatik (Hrsg.): Referate der 41. GIL-Jahrestagung. Bonn, 2021, S. 331–336","apa":"Viertel, P., & 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.), Referate der 41. GIL-Jahrestagung (pp. 331–336). Bonn.","chicago":"Viertel, Philipp, and Matthias König. “Deep Learning in Palynology – A Use Case for Automated Visual Classification of Pollen Grains from Honey Samples.” In Referate Der 41. GIL-Jahrestagung, edited by Gesellschaft für Informatik, 331–36. Bonn, 2021.","ieee":"P. Viertel and M. König, “Deep Learning in palynology – A use case for automated visual classification of pollen grains from honey samples,” in Referate der 41. GIL-Jahrestagung, Potsdam, Online, 2021, pp. 331–336."},"_id":"1531","status":"public","author":[{"full_name":"Viertel, Philipp","last_name":"Viertel","first_name":"Philipp","orcid":"0000-0002-7274-4290","id":"216274"},{"full_name":"König, Matthias","last_name":"König","orcid":"0000-0002-4915-0750","first_name":"Matthias","id":"213498"}],"main_file_link":[{"url":"https://dl.gi.de/items/65681cbc-370c-4480-b3c1-9fd724f84c56"}],"type":"conference","publication_identifier":{"isbn":["978-3-88579-703-6"]},"conference":{"name":"Informations- und Kommunikationstechnologien in kritischen Zeiten","location":"Potsdam, Online","start_date":"2021-03-08","end_date":"2021-03-09"},"place":"Bonn","department":[{"_id":"102"}],"page":"331-336","date_updated":"2024-05-23T15:35:27Z","alternative_id":["1289"],"language":[{"iso":"eng"}]}