Samuele Segoni
Management, Monitoring, Policy and Law · 2013–2018
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Management, Monitoring, Policy and Law — 14 citations into it; #1,826 of 2,821 by trust here, #1,196 by citations
- Safety, Risk, Reliability and Quality — 7 citations into it; #827 of 1,220 by trust here, #437 by citations
- Global and Planetary Change — 5 citations into it; #6,742 of 10,225 by trust here, #5,940 by citations
Whom Samuele Segoni trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Samuele Segoni overall
Papers from Samuele Segoni's perspective
Ordered by how strongly the researchers Samuele Segoni trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
- Validation and Evaluation of Predictive Models in Hazard Assessment and Risk Management
- Probability distributions of landslide volumes
- Applied Logistic Regression: Hosmer/Applied Logistic Regression
- Probabilistic rainfall thresholds for landslide occurrence using a Bayesian approach
- Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
- Techniques for evaluating the performance of landslide susceptibility models
- Artificial Neural Networks applied to landslide susceptibility assessment
- Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling (Environmental Modelling & Software)
Their papers
- A review of the recent literature on rainfall thresholds for landslide occurrence (2018) — 594 citations
- Quantitative comparison between two different methodologies to define rainfall thresholds for landslide forecasting (2015) — 73 citations
- Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues (2013) — 633 citations