Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability

Originalsprog	Engelsk
Publikationsdato	2020
Antal sider	1
Status	Udgivet - 2020
Begivenhed	The fourth conference of the Nordic Society Oikos 2020: Ecology in the Anthropocene - Harpa Conference and Concert Centre, Reykjavik, Island Varighed: 2 mar. 2020 → 5 mar. 2020 https://www.oikos2020.org/

Konference

Konference	The fourth conference of the Nordic Society Oikos 2020
Lokation	Harpa Conference and Concert Centre
Land/Område	Island
By	Reykjavik
Periode	02/03/2020 → 05/03/2020
Internetadresse	https://www.oikos2020.org/

AUB Link

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Aktiviteter

• 2 Konferenceoplæg
• 1 Organisering af eller deltagelse i workshop, kursus, seminar, udstilling eller lignende
• 1 Gæsteophold ved andre institutioner

Aktiviteter pr. år

• Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability

  Ørsted, M. (Foredragsholder)

  3 mar. 2020

  Aktivitet: Foredrag og mundtlige bidrag › Konferenceoplæg

• Santa Clara University, Department of Biology

  Ørsted, M. (Gæsteforsker)

  7 nov. 2019 → 5 jan. 2020

  Aktivitet: Gæsteophold ved andre institutioner

• Experimental evolution and conservation: insights from Drosophila

  Ørsted, M. (Foredragsholder)

  5 apr. 2019

  Aktivitet: Foredrag og mundtlige bidrag › Konferenceoplæg

Se alle 4 aktiviteter

Citationsformater

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Ørsted, M., Sandel, B., Kissling, W. D., & Nielsen, K. T. (2020). Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability. Abstract fra The fourth conference of the Nordic Society Oikos 2020, Reykjavik, Island.

Ørsted, Michael ; Sandel, Brody ; Kissling, W. Daniel et al. / Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability. Abstract fra The fourth conference of the Nordic Society Oikos 2020, Reykjavik, Island.1 s.

@conference{6b8b495f744c47419f0531d9c6cd1ebd,

title = "Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability",

author = "Michael {\O}rsted and Brody Sandel and Kissling, {W. Daniel} and Nielsen, {Kristian Tr{\o}jelsgaard}",

year = "2020",

language = "English",

note = "The fourth conference of the Nordic Society Oikos 2020 ; Conference date: 02-03-2020 Through 05-03-2020",

url = "https://www.oikos2020.org/",

}

Ørsted, M, Sandel, B, Kissling, WD & Nielsen, KT 2020, 'Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability', The fourth conference of the Nordic Society Oikos 2020, Reykjavik, Island, 02/03/2020 - 05/03/2020.

Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability. / Ørsted, Michael; Sandel, Brody; Kissling, W. Daniel et al.
2020. Abstract fra The fourth conference of the Nordic Society Oikos 2020, Reykjavik, Island.

Publikation: Konferencebidrag uden forlag/tidsskrift › Konferenceabstrakt til konference › Forskning › peer review

TY - ABST

T1 - Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability

AU - Ørsted, Michael

AU - Sandel, Brody

AU - Kissling, W. Daniel

AU - Nielsen, Kristian Trøjelsgaard

PY - 2020

Y1 - 2020

M3 - Conference abstract for conference

T2 - The fourth conference of the Nordic Society Oikos 2020

Y2 - 2 March 2020 through 5 March 2020

ER -

Ørsted M, Sandel B, Kissling WD, Nielsen KT. Predicting biotic interactions: a machine learning approach to understanding anthropogenic impacts on community stability. 2020. Abstract fra The fourth conference of the Nordic Society Oikos 2020, Reykjavik, Island.