Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model. - Daniela Castro Camilo; Luigi Lombardo; P. Martin Mai; Jie Dou; Raphaël Huser (Environ. Model. Softw., 2017)

Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures. - Bastian Van den Bout; Luigi Lombardo; Cees J. van Westen; Victor G. Jetten (Environ. Model. Softw., 2018)

Hybrid Computational Intelligence Models for Improvement Gully Erosion Assessment. - Alireza Arabameri; Wei Chen 051; Luigi Lombardo; Thomas Blaschke; Dieu Tien Bui (Remote. Sens., 2020)

Using satellite rainfall products to assess the triggering conditions for hydro-morphological processes in different geomorphological settings in China. - Nan Wang; Luigi Lombardo; Stefano Luigi Gariano; Weiming Cheng; Changjun Liu; Junnan Xiong; Rui-Bo Wang (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Cloud-based interactive susceptibility modeling of gully erosion in Google Earth Engine. - Giacomo Titti; Gabriele Nicola Napoli; Christian Conoscenti; Luigi Lombardo (Int. J. Appl. Earth Obs. Geoinformation, 2022)

A Novel Historical Landslide Detection Approach Based on LiDAR and Lightweight Attention U-Net. - Chengyong Fang; Xuanmei Fan; Hao Zhong; Luigi Lombardo; Hakan Tanyas; Xin Wang 032 (Remote. Sens., 2022)

Distinct Susceptibility Patterns of Active and Relict Landslides Reveal Distinct Triggers: A Case in Northwestern Turkey. - Marco Loche; Luigi Lombardo; Tolga Görüm; Hakan Tanyas; Gianvito Scaringi (Remote. Sens., 2022)

DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds. - Omar F. Althuwaynee; Massimo Melillo; Stefano Luigi Gariano; Hyuck Jin Park; Sang-Wan Kim; Luigi Lombardo; Paulo Hader; Meriame Mohajane; Renata Pacheco Quevedo; Filippo Catani; Ali Aydda (Environ. Model. Softw., 2023)

Explainable artificial intelligence in geoscience: A glimpse into the future of landslide susceptibility modeling. - Ashok Dahal; Luigi Lombardo (Comput. Geosci., 2023)

A breakthrough in fast flood simulation. - Bastian Van den Bout; Victor G. Jetten; Cees J. van Westen; Luigi Lombardo (Environ. Model. Softw., 2023)

Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system. - Mahnoor Ahmed; Hakan Tanyas; Raphaël Huser; Ashok Dahal; Giacomo Titti; Lisa Borgatti; Mirko Francioni; Luigi Lombardo (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Speech-recognition in landslide predictive modelling: A case for a next generation early warning system. - Zhice Fang; Hakan Tanyas; Tolga Görüm; Ashok Dahal; Yi Wang 021; Luigi Lombardo (Environ. Model. Softw., 2023)

An ensemble neural network approach for space-time landslide predictive modelling. - Jana Lim; Giorgio Santinelli; Ashok Dahal; Anton Vrieling; Luigi Lombardo (Int. J. Appl. Earth Obs. Geoinformation, 2024)

At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition. - Ashok Dahal; Raphaël Huser; Luigi Lombardo (CoRR, 2024)

Towards physics-informed neural networks for landslide prediction. - Ashok Dahal; Luigi Lombardo (CoRR, 2024)

Landslide hazard spatiotemporal prediction based on data-driven models: Estimating where, when and how large landslide may be. - Zhice Fang; Yi Wang 021; Cees J. van Westen; Luigi Lombardo (Int. J. Appl. Earth Obs. Geoinformation, 2024)

An updated version of the SZ-plugin: From space to space-time data-driven modeling in QGIS. - Giacomo Titti; Liwei Hu; Pietro Festi; Letizia Elia; Lisa Borgatti; Luigi Lombardo (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Long and short-term perspectives on space-time landslide modelling. - Tengfei Wang; Kunlong Yin; Zheng Wang; Zhice Fang; Ashok Dahal; Luigi Lombardo (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Distribution-agnostic landslide hazard modelling via Graph Transformers. - Gabriele Belvederesi; Hakan Tanyas; Aldo Lipani; Ashok Dahal; Luigi Lombardo (Environ. Model. Softw., 2025)