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Using data-driven algorithms for semi-automated geomorphological mapping
In this paper, we compare the performance of two data-driven algorithms to deal with an automatic classification problem in geomorphology: Direct Sampling (DS) and Random Forest (RF). The main goal is to provide a semi-automated procedure for the geomorphological mapping of alpine environments, usin...
Autores principales: | Giaccone, Elisa, Oriani, Fabio, Tonini, Marj, Lambiel, Christophe, Mariéthoz, Grégoire |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463315/ https://www.ncbi.nlm.nih.gov/pubmed/36101651 http://dx.doi.org/10.1007/s00477-021-02062-5 |
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