Techniques for evaluating the performance of landslide susceptibility models
By P. Frattini, Giovanni Battista Crosta, A. Carrara. 2010
467 citations recorded by the source corpus.
Subfields: Management, Monitoring, Policy and Law, Mechanical Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/815d7276117bef6fd2f88c1770a0de563fa83743
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management, Monitoring, Policy and Law
- Omid Rahmati
- Biswajeet Pradhan
- Filippo Catani
- Hamid Darabi
- A. Torabi Haghighi
- Thomas Opitz
- Francesca Ardizzone
- Raphaël Huser
In Mechanical Engineering
- Omid Rahmati
- Filippo Catani
- Hamid Darabi
- A. Torabi Haghighi
- Biswajeet Pradhan
- Thomas Opitz
- Raphaël Huser
- Hamid Reza Pourghasemi
In Safety, Risk, Reliability and Quality
- Filippo Catani
- Biswajeet Pradhan
- Samuele Segoni
- Veronica Tofani
- D. Lagomarsino
- Luigi Lombardo
- Binh Thai Pham
- Indra Prakash
Citations in the corpus
- Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques (2019, methodology): “The area under the curve (AUC-ROC) has been widely used for evaluating model accuracy (Frattini et al., 2010).”
- Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues (2013, methodology): “In particular, Frattini et al. (2010) propose a complete framework for the quantitative assessment of LSM quality and also discuss the possible impact of using different methods in terms of cost-benefit analysis.”
- Space-time landslide predictive modelling (2019, background): “of the theoretical probability range (e.g.,Lombardo et al.,2016a). The approach is problematic, because it sets the cuto where the model is most uncertain (Rossi et al.,2010a;Reichenbach et al.,2018).Frattini et al. (2010) pointed out that the choice of a cuto value depends on the proportion of the ”