About: Impact of ecological redundancy on the performance of machine learning classifiers in vegetation mapping

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scientific article published on 11 June 2018

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rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в липні 2018 (uk) article scientifique publié en 2018 (fr) im Juni 2018 veröffentlichter wissenschaftlicher Artikel (de) scientific article published on 11 June 2018 (en) 2018 թվականի հունիսի 11-ին հրատարակված գիտական հոդված (hy) artículu científicu espublizáu en xunu de 2018 (ast)
publication date	wds:Q60548642-086CAB1E-9FA2-4709-AB0E-79F34D42CD67
publication date	2018-06-11 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q60548642-593CA2F7-B558-45A8-8F10-E604608EC527
language of work or name	English
cites work	wds:Q60548642-09285CB6-CE5A-448A-95BC-9D50E753BB4E wds:Q60548642-1001F444-4070-405B-81FD-241433AA7930 wds:Q60548642-2CF6D974-F00C-4EEF-96AA-2F44BACABC40 wds:Q60548642-34F7081F-AA0C-466E-A6D3-CFE0F635E0B8 wds:Q60548642-4117D878-C9F2-4586-85D9-136AF6ABC4CE wds:Q60548642-6992F336-61E0-43C9-8C10-9D9FC14857A2 wds:Q60548642-71A37AEF-B705-4B03-947B-7DD560467150 wds:Q60548642-7CD0B833-577C-4CA0-B2B9-34D8D8489345 wds:Q60548642-85F49EBB-C159-43AB-A116-9C756CC3AC30 wds:Q60548642-88A5DE59-28E8-4F39-BD42-27D2E0EC6895 wds:Q60548642-94A3105B-14B1-4561-8623-D6DDE1C2C913 wds:Q60548642-988FC7E3-E0DF-4828-849A-92983F60E368 wds:Q60548642-9EC4C247-140D-42D9-812F-29F37E11ADDF wds:Q60548642-9FD3CD4C-C8D1-4A20-9830-16498D21DD3D wds:Q60548642-A3395438-DB42-4EF7-B091-5091CCE6144D wds:Q60548642-B11D7058-A6BE-4619-85C8-BF36DF809355 wds:Q60548642-B2131537-DC80-4A74-829E-CB0C5769E847 wds:Q60548642-B7F9927D-C6E1-49CF-9E6D-A8FC9FC653CC wds:Q60548642-C3C95DB3-3F51-4C8F-9939-6D4DC55CDD3B wds:Q60548642-C4C04089-F44F-4637-BD2B-A71319BE233F wds:Q60548642-D330463D-7585-4405-9BA5-3DCE2B36CFD1 wds:Q60548642-E2E37A7C-05DB-4106-8D13-6E43EFB4E99A wds:Q60548642-E605796A-185F-45C2-94DE-63DFFA8BAFE1 wds:Q60548642-F0FB5778-3935-4A12-B3B8-4D7D6F5BEBCB wds:Q60548642-F1D296BB-3CD3-49A8-BE8A-3AA4C123E20F wds:Q60548642-F5360DD8-85FC-485B-92F9-D7226F494AD1 wds:Q60548642-FA205CCD-3C53-4782-B88B-6BDBB4D2CE1D
cites work	A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Data Search for the smallest random forest Very high resolution interpolated climate surfaces for global land areas Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests LIBSVM Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning Ecological assembly rules in plant communities--approaches, patterns and prospects Mapping spatial pattern in biodiversity for regional conservation planning: where to from here? The Shuttle Radar Topography Mission Multivariate Analysis of Ecological Data using CANOCO Modeling the climatic drivers of spatial patterns in vegetation composition since the Last Glacial Maximum The aligned rank transform for nonparametric factorial analyses using only anova procedures Plant Species Coexistence: The Role of Historical, Evolutionary and Ecological Factors The use of classification trees for bioinformatics Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights Identifying the controls on coastal cliff landslides using machine-learning approaches An assessment of the effectiveness of a random forest classifier for land-cover classification Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information Vegetation patterns and hydro-geological drivers of freshwater rock pool communities in the monsoon-tropical Kimberley region, Western Australia OptimClass: Using species-to-cluster fidelity to determine the optimal partition in classification of ecological communities Functional Redundancy Instead of Species Redundancy Determines Community Stability in a Typical Steppe of Inner Mongolia Topography and edge effects are more important than elevation as drivers of vegetation patterns in a neotropical montane forest Impact of input data uncertainty on environmental exposure assessment models: A case study for electromagnetic field modelling from mobile phone base stations Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning Predicting ground contact events for a continuum of gait types: An application of targeted machine learning using principal component analysis Prediction of National Vegetation Classification communities in the British uplands using environmental data at multiple spatial scales, aerial images and the classifier random forest Feature Selection for Classification of Hyperspectral Data by SVM
author name string	wds:Q60548642-3705A9E1-6954-42E0-8C21-FF299707E2E0 wds:Q60548642-9087B74A-7D0B-4846-B4B3-CF06F84EAB28 wds:Q60548642-A9B51B31-865F-4656-BADF-0F388FDBF13A wds:Q60548642-D907E0CD-B27B-49C4-888C-226B6CDE2530
author name string	James L Tsakalos Adriaan Van Niekerk Mark P Dobrowolski Paul D Macintyre
rdfs:label	Impact of ecological redundancy on the performance of machine learning classifiers in vegetation mapping (en) Impact of ecological redundancy on the performance of machine learning classifiers in vegetation mapping (nl)
skos:prefLabel	Impact of ecological redundancy on the performance of machine learning classifiers in vegetation mapping (en) Impact of ecological redundancy on the performance of machine learning classifiers in vegetation mapping (nl)
name	Impact of ecological redundancy on the performance of machine learning classifiers in vegetation mapping (en) Impact of ecological redundancy on the performance of machine learning classifiers in vegetation mapping (nl)
author	wds:Q60548642-6B8E6FFB-4044-4B24-8AC0-5DC14880BEED wds:Q60548642-6D983F10-AA15-4A48-801F-19F5D0C04509 wds:Q60548642-76D0D4AC-068C-4D29-8324-0DBE9FBFDC60 wds:Q60548642-8E6FD678-EC69-44F9-B8DE-554F06AD5E76 wds:Q60548642-D69140AD-E178-4560-AA1A-DD225B6CAA04 wds:Q60548642-FB577D9C-F2B7-4FD8-A784-F9859603BD16
author	Ladislav Mucina Mark P. Dobrowolski James L Tsakalos Adriaan van Niekerk Paul D Macintyre
title	wds:Q60548642-5FB3F5A3-B7BF-41BB-AD75-275B2476F198
title	Impact of ecological redundancy on the performance of machine learning classifiers in vegetation mapping (en)
page(s)	wds:Q60548642-94403564-B5ED-4045-B94E-BE7E6DCB8F1B
page(s)	6728-6737
instance of	wds:Q60548642-CEEED680-4C65-4656-A2F2-9132B17F6AA6
instance of	scholarly article
main subject	wds:Q60548642-A0BA642D-070F-42E7-9E8C-8113F42F0FD7
main subject	machine learning
PubMed ID	wds:Q60548642-5AFBFEBB-A01A-4539-AFA5-C320A3EE3033

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