Blair, J., Weiser, M. D., de Beurs, K., Kaspari, M., Siler, C., & Marshall, K. E. (2022). Embracing imperfection: Machine-assisted invertebrate classification in real-world datasets. Ecological Informatics, 72, N.PAG-0. https://doi.org/10.1016/j.ecoinf.2022.101896
ISO-690 (author-date, English)BLAIR, Jarrett, WEISER, Michael D., DE BEURS, Kirsten, KASPARI, Michael, SILER, Cameron und MARSHALL, Katie E., 2022. Embracing imperfection: Machine-assisted invertebrate classification in real-world datasets. Ecological Informatics. 1 Dezember 2022. Vol. 72, , p. N.PAG-0. DOI 10.1016/j.ecoinf.2022.101896.
Modern Language Association 9th editionBlair, J., M. D. Weiser, K. de Beurs, M. Kaspari, C. Siler, und K. E. Marshall. „Embracing Imperfection: Machine-Assisted Invertebrate Classification in Real-World Datasets.“. Ecological Informatics, Bd. 72, Dezember 2022, S. N.PAG-0, https://doi.org/10.1016/j.ecoinf.2022.101896.
Mohr Siebeck - Recht (Deutsch - Österreich)Blair, Jarrett/Weiser, Michael D./de Beurs, Kirsten/Kaspari, Michael/Siler, Cameron/Marshall, Katie E.: Embracing imperfection: Machine-assisted invertebrate classification in real-world datasets., Ecological Informatics 2022, N.PAG-0.
Emerald - HarvardBlair, J., Weiser, M.D., de Beurs, K., Kaspari, M., Siler, C. und Marshall, K.E. (2022), „Embracing imperfection: Machine-assisted invertebrate classification in real-world datasets.“, Ecological Informatics, Vol. 72, S. N.PAG-0.