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Toxische Videospielkultur - Massnahmen bei sexueller Belästigung in Online-Spielen aus der Sicht von Betroffenen: eine qualitative Untersuchung. <i>MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung</i>. 2023:51-72. doi:<a href=\"https://doi.org/10.21240/mpaed/00/2023.03.30.X\">10.21240/mpaed/00/2023.03.30.X</a>","alphadin":"<span style=\"font-variant:small-caps;\">Cohnen, Christian</span> ; <span style=\"font-variant:small-caps;\">Knäble, Ricarda</span> ; <span style=\"font-variant:small-caps;\">Ilskens, Karina</span> ; <span style=\"font-variant:small-caps;\">Aschentrup, Leona</span> ; <span style=\"font-variant:small-caps;\">Sander, Uwe</span> ; <span style=\"font-variant:small-caps;\">Dockweiler, Christoph</span> ; <span style=\"font-variant:small-caps;\">Wrona, Kamil Joseph</span>: Toxische Videospielkultur - Massnahmen bei sexueller Belästigung in Online-Spielen aus der Sicht von Betroffenen: eine qualitative Untersuchung. 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Metric-Based Few-Shot Learning for Pollen Grain Image Classification. In: De Marsico M, Sanniti di Baja G, Fred  A, eds. <i>Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM</i>. ; 2023:418-425. doi:<a href=\"https://doi.org/10.5220/0011727900003411\">10.5220/0011727900003411</a>","chicago":"Viertel, Philipp, Matthias König, and Jan Rexilius. “Metric-Based Few-Shot Learning for Pollen Grain Image Classification.” In <i>Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM</i>, edited by Maria  De Marsico, Gabriella  Sanniti di Baja, and Ana Fred , 418–25, 2023. <a href=\"https://doi.org/10.5220/0011727900003411\">https://doi.org/10.5220/0011727900003411</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Viertel, Philipp</span> ; <span style=\"font-variant:small-caps;\">König, Matthias</span> ; <span style=\"font-variant:small-caps;\">Rexilius, Jan</span>: Metric-Based Few-Shot Learning for Pollen Grain Image Classification. In: <span style=\"font-variant:small-caps;\">De Marsico, M.</span> ; <span style=\"font-variant:small-caps;\">Sanniti di Baja, G.</span> ; <span style=\"font-variant:small-caps;\">Fred , A.</span> (Hrsg.): <i>Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM</i>, 2023, S. 418–425","bibtex":"@inproceedings{Viertel_König_Rexilius_2023, title={Metric-Based Few-Shot Learning for Pollen Grain Image Classification}, DOI={<a href=\"https://doi.org/10.5220/0011727900003411\">10.5220/0011727900003411</a>}, booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM}, author={Viertel, Philipp and König, Matthias and Rexilius, Jan}, editor={De Marsico, Maria  and Sanniti di Baja, Gabriella  and Fred , AnaEditors}, year={2023}, pages={418–425} }","short":"P. Viertel, M. König, J. Rexilius, in: M. De Marsico, G. Sanniti di Baja, A. Fred  (Eds.), Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM, 2023, pp. 418–425.","mla":"Viertel, Philipp, et al. “Metric-Based Few-Shot Learning for Pollen Grain Image Classification.” <i>Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM</i>, edited by Maria  De Marsico et al., 2023, pp. 418–25, doi:<a href=\"https://doi.org/10.5220/0011727900003411\">10.5220/0011727900003411</a>.","apa":"Viertel, P., König, M., &#38; Rexilius, J. (2023). Metric-Based Few-Shot Learning for Pollen Grain Image Classification. In M. De Marsico, G. Sanniti di Baja, &#38; A. Fred  (Eds.), <i>Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM</i> (pp. 418–425). Lisbon, Portugal. <a href=\"https://doi.org/10.5220/0011727900003411\">https://doi.org/10.5220/0011727900003411</a>","ieee":"P. Viertel, M. König, and J. Rexilius, “Metric-Based Few-Shot Learning for Pollen Grain Image Classification,” in <i>Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM</i>, Lisbon, Portugal, 2023, pp. 418–425."}}]
