Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 1451-1452 |
| Seitenumfang | 2 |
| Fachzeitschrift | Trends in Plant Science |
| Jahrgang | 28 |
| Ausgabenummer | 12 |
| Frühes Online-Datum | 4 Okt. 2023 |
| Publikationsstatus | Veröffentlicht - Dez. 2023 |
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AutoML: advanced tool for mining multivariate plant traits. / Shoaib, Mirza; Kotthoff, Lars; Lindauer, Marius et al.
in: Trends in Plant Science, Jahrgang 28, Nr. 12, 12.2023, S. 1451-1452.
in: Trends in Plant Science, Jahrgang 28, Nr. 12, 12.2023, S. 1451-1452.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
Shoaib, M, Kotthoff, L, Lindauer, M & Kant, S 2023, 'AutoML: advanced tool for mining multivariate plant traits', Trends in Plant Science, Jg. 28, Nr. 12, S. 1451-1452. https://doi.org/10.1016/j.tplants.2023.09.008
Shoaib, M., Kotthoff, L., Lindauer, M., & Kant, S. (2023). AutoML: advanced tool for mining multivariate plant traits. Trends in Plant Science, 28(12), 1451-1452. https://doi.org/10.1016/j.tplants.2023.09.008
Shoaib M, Kotthoff L, Lindauer M, Kant S. AutoML: advanced tool for mining multivariate plant traits. Trends in Plant Science. 2023 Dez;28(12):1451-1452. Epub 2023 Okt 4. doi: 10.1016/j.tplants.2023.09.008
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journal = "Trends in Plant Science",
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Download
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AU - Shoaib, Mirza
AU - Kotthoff, Lars
AU - Lindauer, Marius
AU - Kant, Surya
PY - 2023/12
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JO - Trends in Plant Science
JF - Trends in Plant Science
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