Work

A review of supervised machine learning algorithms and their applications to ecological data

Year: 2012

Type: article

Source: Ecological Modelling

DOI: 10.1016/j.ecolmodel.2012.03.001

Authors: C. Crisci, B. Ghattas, G. Perera

Institutions: Centre National de la Recherche Scientifique, Station Marine d'Endoume, Universidad de la República de Uruguay

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Life below water, Life on land

Open Access status: closed

OpenAlex ID: W2102203250

FWCI: 11.21

Cites: 67

Cited by: 317

Related to: 9