Lombardo, Luigi
- Joint modeling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions
2022/05/20 by Rishikesh Yadav, Yadav, Rishikesh, Raphaël Huser +5 · 3 citations
Environmental Science · Mathematics · #Applications (stat.AP) #FOS: Computer and information sciences #Landslides and related hazards #Methodology (stat.ME) #Point processes and geometric inequalities #Soil Geostatistics and Mapping
- Deep graphical regression for jointly moderate and extreme Australian wildfires
2023/08/28 by Daniela Cisneros, J. Ian Richards, Cisneros, Daniela +7 · 3 citations
Engineering · Environmental Science · #Applications (stat.AP) #FOS: Computer and information sciences #Fire Detection and Safety Systems #Fire effects on ecosystems #Landslides and related hazards #Machine Learning (stat.ML)
- Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster
2017/08/10 by Luigi Lombardo, Thomas Opitz, Lombardo, Luigi +3 · 1 citation
Environmental Science · Mathematics · #Applications (stat.AP) #FOS: Computer and information sciences #Landslides and related hazards #Morphological variations and asymmetry #Soil Geostatistics and Mapping
- Space-Time Landslide Predictive Modelling
2019/12/03 by Lombardo, Luigi, Opitz, Thomas, Ardizzone, Francesca +2 · 1 citation
#Applications (stat.AP) #FOS: Computer and information sciences
- High-resolution Bayesian mapping of landslide hazard with unobserved trigger event
2020/06/14 by Thomas Opitz, Haakon Bakka, Opitz, Thomas +5 · 1 citation
Environmental Science · #FOS: Computer and information sciences #Landslides and related hazards #Methodology (stat.ME) #Remote Sensing in Agriculture #Soil Geostatistics and Mapping
- At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition
2024/01/25 by Ashok Dahal, Dahal, Ashok, Raphaël Huser +3 · 1 citation
Earth and Planetary Sciences · Environmental Science · #Applications (stat.AP) #Cryospheric studies and observations #FOS: Computer and information sciences #FOS: Physical sciences #Flood Risk Assessment and Management #Geophysics (physics.geo-ph) #Landslides and related hazards #Machine Learning (cs.LG) #Machine Learning (stat.ML)