Luigi Lombardo

On the estimation of landslide intensity, hazard and density via data-driven models

H. Tanyaş, A. Cevasco, P. Brandolini, 2023, Natural Hazards.

Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model

Jie Dou, Raphaël Huser, P. Martin Mai, 2017, Environ. Model. Softw..

Estimating weakening on hillslopes caused by strong earthquakes

R. Jibson, H. Tanyaş, Xiewen Hu, 2024, Communications Earth & Environment.

At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition

Ashok Dahal, Luigi Lombardo, Raphaël Huser, 2024, Journal of Geophysical Research: Machine Learning and Computation.

Co-seismic hillslope weakening

H. Tanyaş, Xiewen Hu, Luigi Lombardo, 2024, Engineering Geology.

Towards physics-informed neural networks for landslide prediction

Ashok Dahal, Luigi Lombardo, 2024, 2407.06785.

Distribution-agnostic landslide hazard modeling via Graph Transformers

Ashok Dahal, Luigi Lombardo, H. Tanyaș, 2024, Environmental Modelling & Software.

An ensemble neural network approach for space-time landslide predictive modelling

Ashok Dahal, Luigi Lombardo, Jana Lim, 2024, Int. J. Appl. Earth Obs. Geoinformation.

Event-based rainfall-induced landslide inventories and rainfall thresholds for Malawi

C. V. van Westen, Luigi Lombardo, Axel A. J. Deijns, 2024, Landslides.