articleTop 1% cited
GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
Environmental Monitoring and Assessment · 2015 · Vol. 188(1) · pp. 44–44
Seyed Amir Naghibi(Tarbiat Modares University)Hamid Reza Pourghasemi✉(Shiraz University)Barnali Dixon(University of South Florida St. Petersburg)
Groundwater and Watershed AnalysisAutomated Road and Building ExtractionFlood Risk Assessment and ManagementDrainage densityTopographic Wetness IndexRandom forestCartHydrology (agriculture)Environmental scienceWatershedGroundwaterRegression analysisRemote sensing
MeSH terms
Machine LearningDecision TreesEnvironmental MonitoringGeologyIranModels, TheoreticalROC CurveModels, StatisticalGeographic Information SystemsRiversGroundwaterWater Resources
Citations
679
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17.01
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99
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Total coliforms, arsenic and cadmium exposure through drinking water in the Western Region of Ghana: application of multivariate statistical technique to groundwater quality
Environmental Monitoring and Assessment · 2015 · 646 citations
The random subspace method for constructing decision forests
IEEE Transactions on Pattern Analysis and Machine Intelligence · 1998 · 6,773 citations
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Ecology Letters · 2005 · 6,416 citations
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