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Nicola Nocentini
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Predicting and understanding landslide events with explainable AI
E Collini, LAI Palesi, P Nesi, G Pantaleo, N Nocentini, A Rosi
IEEE Access 10, 31175-31189, 2022
502022
Towards landslide space-time forecasting through machine learning: the influence of rainfall parameters and model setting
N Nocentini, A Rosi, S Segoni, R Fanti
Frontiers in Earth Science 11, 1152130, 2023
282023
Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation
N Nocentini, C Medici, F Barbadori, A Gatto, R Franceschini, ...
Landslides 21 (3), 557-571, 2024
142024
Comprehensive landslide susceptibility map of Central Asia
A Rosi, W Frodella, N Nocentini, F Caleca, HB Havenith, A Strom, ...
Natural Hazards and Earth System Sciences 23 (6), 2229-2250, 2023
132023
Regional-scale spatiotemporal landslide probability assessment through machine learning and potential applications for operational warning systems: a case study in Kvam (Norway)
N Nocentini, A Rosi, L Piciullo, Z Liu, S Segoni, R Fanti
Landslides 21 (10), 2369-2387, 2024
92024
Towards a national-scale dataset of geotechnical and hydrological soil parameters for shallow landslide modeling
P Vannocci, S Segoni, EB Masi, F Cardi, N Nocentini, A Rosi, G Bicocchi, ...
Data 7 (3), 37, 2022
82022
New explanatory variables to improve landslide susceptibility mapping: Testing the effectiveness of soil sealing information and multi-criteria geological parameterization
S Segoni, N Nocentini, A RoSi, T Luti, G PAPPAfico, M Munafò, N Casagli, ...
Italian journal of engineering geology and environment 2021 (Special issue …, 2021
32021
A novel prototype national-scale landslide nowcasting system for Italy combining rainfall thresholds and risk indicators
S Segoni, N Nocentini, F Barbadori, C Medici, A Gatto, A Rosi, N Casagli
Landslides, 1-26, 2025
2025
Optimizing operational efficiency in physically based landslide forecasting models: a multi-criterial parameterization approach in evaluating slope stability risk scenarios-a …
G Morreale, N Nocentini, E Benedetta Masi, A Rosi, S Segoni, V Tofani
EGU General Assembly Conference Abstracts, 13149, 2024
2024
Optimized 3D rainfall thresholds: false alarms reduction and multi-source validation
S Segoni, N Nocentini, C Medici, F Barbadori, A Gatto, R Franceschini, ...
EGU General Assembly Conference Abstracts, 11530, 2024
2024
Spatiotemporal landslide forecasting through machine learning and perspectives of applications for early warning: a case study in Kvam, Norway
N Nocentini, A Rosi, L Piciullo, Z Liu, S Segoni
EGU General Assembly Conference Abstracts, 15046, 2024
2024
Insights gained from the review of landslide susceptibility assessment studies in Italy
S Segoni, RS Ajin, N Nocentini, R Fanti
Remote Sensing 16, 1-31, 2024
2024
Analysis of the influence of rainfall in the triggering of landslides through machine learning: an innovative approach in the perspective of spatiotemporal landslide forecasting
N Nocentini, A Rosi, S Segoni, R Fanti
EGU General Assembly Conference Abstracts, EGU-5708, 2023
2023
Landslide susceptibility assessment including a set of novel explanatory variables: soil sealing, and multi-criteria geological parameterization.
N Nocentini, T Luti, A Rosi, S Segoni
EGU General Assembly Conference Abstracts, EGU22-4051, 2022
2022
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