| Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability M Di Napoli, F Carotenuto, A Cevasco, P Confuorto, D Di Martire, M Firpo, ... Landslides 17 (8), 1897-1914, 2020 | 164 | 2020 |
| Decision tree based ensemble machine learning approaches for landslide susceptibility mapping A Arabameri, S Chandra Pal, F Rezaie, R Chakrabortty, A Saha, ... Geocarto International 37 (16), 4594-4627, 2022 | 94 | 2022 |
| Slow-moving landslide risk assessment combining Machine Learning and InSAR techniques A Novellino, M Cesarano, P Cappelletti, D Di Martire, M Di Napoli, ... Catena 203, 105317, 2021 | 89 | 2021 |
| Landslide susceptibility assessment of wildfire burnt areas through earth-observation techniques and a machine learning-based approach M Di Napoli, P Marsiglia, D Di Martire, M Ramondini, SL Ullo, ... Remote Sensing 12 (15), 2505, 2020 | 53 | 2020 |
| Rainfall-induced shallow landslide detachment, transit and runout susceptibility mapping by integrating machine learning techniques and GIS-based approaches M Di Napoli, D Di Martire, G Bausilio, D Calcaterra, P Confuorto, M Firpo, ... Water 13 (4), 488, 2021 | 48 | 2021 |
| Landslide awareness system (Laws) to increase the resilience and safety of transport infrastructure: The case study of pan-American highway (Cuenca–Ecuador) P Miele, M Di Napoli, L Guerriero, M Ramondini, C Sellers, ... Remote Sensing 13 (8), 1564, 2021 | 26 | 2021 |
| Machine-learning based landslide susceptibility modelling with emphasis on uncertainty analysis AL Achu, CD Aju, M Di Napoli, P Prakash, G Gopinath, E Shaji, ... Geoscience Frontiers 14 (6), 101657, 2023 | 23 | 2023 |
| A novel methodology for Groundwater Flooding Susceptibility assessment through Machine Learning techniques in a mixed-land use aquifer V Allocca, M Di Napoli, S Coda, F Carotenuto, D Calcaterra, D Di Martire, ... Science of the total environment 790, 148067, 2021 | 23 | 2021 |
| Multi-hazard susceptibility assessment using analytic hierarchy process: the Derwent Valley Mills UNESCO World Heritage Site case study (United Kingdom) L Guerriero, M Di Napoli, A Novellino, D Di Martire, C Rispoli, K Lee, ... Journal of Cultural Heritage 55, 339-345, 2022 | 16 | 2022 |
| Geomorphology of cinque Terre national park (Italy) E Raso, A Mandarino, G Pepe, D Calcaterra, A Cevasco, P Confuorto, ... Journal of Maps 17 (3), 171-184, 2021 | 16 | 2021 |
| Application of a statistical approach to landslide susceptibility map generation in urban settings C Sepe, P Confuorto, AC Angrisani, D Di Martire, M Di Napoli, ... IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018-Volume …, 2019 | 12 | 2019 |
| SAR data and field surveys combination to update rainfall-induced shallow landslide inventory P Miele, M Di Napoli, A Novellino, D Calcaterra, JJ Mallorqui, D Di Martire Remote Sensing Applications: Society and Environment 26, 100755, 2022 | 9 | 2022 |
| Temporal efficiencies of soil bioengineering techniques to mitigate geo-hydrological risks P Miele, D Di Martire, M Di Napoli, L Guerriero, D Calcaterra Ecological Engineering 170, 106338, 2021 | 6 | 2021 |
| On the estimation of landslide intensity, hazard and density via data-driven models M Di Napoli, H Tanyas, D Castro-Camilo, D Calcaterra, A Cevasco, ... Natural Hazards 119 (3), 1513-1530, 2023 | 5 | 2023 |
| Multitemporal relative landslide exposure and risk analysis for the sustainable development of rapidly growing cities M Di Napoli, P Miele, L Guerriero, M Annibali Corona, D Calcaterra, ... Landslides 20 (9), 1781-1795, 2023 | 5 | 2023 |
| A revised landslide inventory of the Campania region (Italy) F Fusco, R Tufano, P De Vita, D Di Martire, M Di Napoli, L Guerriero, ... Scientific data 10 (1), 355, 2023 | 3 | 2023 |
| Landslide susceptibility assessment in expansion areas of the rapidly growing city of Cuenca (Ecuador) M Di Napoli, MA Corona, L Guerriero, P Miele, M Ramondini, C Sellers, ... RENDICONTI ONLINE DELLA SOCIETÀ GEOLOGICA ITALIANA 56, 50-54, 2022 | 3 | 2022 |
| Comparison of two machine learning algorithms for anthropogenic sinkhole susceptibility assessment in the city of Naples (Italy). G Bausilio, MA Corona, D Di Martire, L Guerriero, R Tufano, D Calcaterra, ... Geotechnical Engineering for the Preservation of Monuments and Historic …, 2022 | 2 | 2022 |
| Landslide susceptibility assessment by ensemble-based machine learning models M Di Napoli, G Bausilio, A Cevasco, P Confuorto, A Mandarino, ... Understanding and Reducing Landslide Disaster Risk: Volume 2 From Mapping to …, 2021 | 2 | 2021 |
| Groundwater flooding hazard assessment in a semi-urban aquifer through probability modelling of surrogate data S Coda, R Tufano, D Calcaterra, P Colantuono, P De Vita, M Di Napoli, ... Journal of Hydrology 621, 129659, 2023 | 1 | 2023 |
