Trait‐based risk assessment for invasive species: high performance across diverse taxonomic groups, geographic ranges and machine learning/statistical tools

Reuben P. Keller; Dragi Kocev; Sašo Džeroski

doi:10.1111/j.1472-4642.2011.00748.x

Trait‐based risk assessment for invasive species: high performance across diverse taxonomic groups, geographic ranges and machine learning/statistical tools

Reuben P. Keller, Dragi Kocev, Sašo Džeroski

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Diversity and Distributions
Volume	17
Issue number	3
DOIs	https://doi.org/10.1111/j.1472-4642.2011.00748.x
State	Published - Jan 5 2011
Externally published	Yes

Disciplines

Geography
Artificial Intelligence and Robotics

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10.1111/j.1472-4642.2011.00748.xLicense: Unspecified

Cite this

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title = "Trait‐based risk assessment for invasive species: high performance across diverse taxonomic groups, geographic ranges and machine learning/statistical tools",

author = "Keller, \{Reuben P.\} and Dragi Kocev and Sa{\v s}o D{\v z}eroski",

note = "Aim Trait‐based risk assessment for invasive species is becoming an important tool for identifying non‐indigenous species that are likely to cause harm. Despite this, concerns remain that the invasion...",

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AU - Keller, Reuben P.

AU - Kocev, Dragi

AU - Džeroski, Sašo

N1 - Aim Trait‐based risk assessment for invasive species is becoming an important tool for identifying non‐indigenous species that are likely to cause harm. Despite this, concerns remain that the invasion...

PY - 2011/1/5

Y1 - 2011/1/5

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U2 - 10.1111/j.1472-4642.2011.00748.x

DO - 10.1111/j.1472-4642.2011.00748.x

M3 - Article

SN - 1472-4642

VL - 17

JO - Diversity and Distributions

JF - Diversity and Distributions

IS - 3

ER -

Trait‐based risk assessment for invasive species: high performance across diverse taxonomic groups, geographic ranges and machine learning/statistical tools

Disciplines

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