A hybrid of ensemble machine learning models with RFE and Boruta wrapper-based algorithms for flash flood susceptibility assessment

Author:

Habibi Alireza,Delavar Mahmoud Reza,Sadeghian Mohammad Sadegh,Nazari Borzoo,Pirasteh Saeid

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference69 articles.

1. Gully Erosion Susceptibility Assessment in the Kondoran Watershed Using Machine Learning Algorithms and the Boruta Feature Selection;Ahmadpour;Sustain.,2021

2. Elaborative text modification vs. input flooding: a case study on non-congruent collocations. Asian-Pacific J. Sec. and Foreign;Ahmadpour Kasgari;Lang. Educ.,2018

3. Enhancing Community Resilience to Floods in Iran: The Case of Post-Disaster Neka;Alaedini;IAU Int. J. Soc. Sci.,2011

4. Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy;Albano;Int. J. Appl. Earth Obs. Geoinf.,2018

5. Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques;Arabameri;J. Hydro.,2020

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