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Year | Number of Results |
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2019 | 3 |
2020 | 1 |
2021 | 1 |
2024 | 0 |
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Page 1
Evaluation of multi-hazard map produced using MaxEnt machine learning technique.
Sci Rep. 2021 Mar 22;11(1):6496. doi: 10.1038/s41598-021-85862-7.
Sci Rep. 2021.
PMID: 33753798
Free PMC article.
PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches.
Rahmati O, Kornejady A, Samadi M, Deo RC, Conoscenti C, Lombardo L, Dayal K, Taghizadeh-Mehrjardi R, Pourghasemi HR, Kumar S, Bui DT.
Rahmati O, et al. Among authors: conoscenti c.
Sci Total Environ. 2019 May 10;664:296-311. doi: 10.1016/j.scitotenv.2019.02.017. Epub 2019 Feb 2.
Sci Total Environ. 2019.
PMID: 30743123
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A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran.
Arabameri A, Rezaei K, Cerdà A, Conoscenti C, Kalantari Z.
Arabameri A, et al. Among authors: conoscenti c.
Sci Total Environ. 2019 Apr 10;660:443-458. doi: 10.1016/j.scitotenv.2019.01.021. Epub 2019 Jan 5.
Sci Total Environ. 2019.
PMID: 30640112
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Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion.
Garosi Y, Sheklabadi M, Conoscenti C, Pourghasemi HR, Van Oost K.
Garosi Y, et al. Among authors: conoscenti c.
Sci Total Environ. 2019 May 10;664:1117-1132. doi: 10.1016/j.scitotenv.2019.02.093. Epub 2019 Feb 6.
Sci Total Environ. 2019.
PMID: 30901785
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Corrigendum to "Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion" [Sci. Total Environ. 664 (2019) 1117-1132].
Garosi Y, Sheklabadi M, Conoscenti C, Pourghasemi HR, Van Oost K.
Garosi Y, et al. Among authors: conoscenti c.
Sci Total Environ. 2020 Aug 15;730:139262. doi: 10.1016/j.scitotenv.2020.139262. Epub 2020 May 12.
Sci Total Environ. 2020.
PMID: 32414528
No abstract available.
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