| The potential of machine learning for weather index insurance L Cesarini, R Figueiredo, B Monteleone, MLV Martina Natural Hazards and Earth System Sciences 21 (8), 2379-2405, 2021 | 20 | 2021 |
| Service accessibility risk (SAR) assessment for pluvial and fluvial floods in an urban context M Arosio, C Arrighi, L Cesarini, MLV Martina Hydrology 8 (3), 142, 2021 | 10 | 2021 |
| Assessment of the disaster resilience of complex systems: the case of the flood resilience of a densely populated city M Arosio, L Cesarini, MLV Martina Water 13 (20), 2830, 2021 | 7 | 2021 |
| Modelling the response of wheat yield to stage-specific water stress in the Po Plain B Monteleone, I Borzí, M Arosio, L Cesarini, B Bonaccorso, M Martina Agricultural Water Management 287, 108444, 2023 | 5 | 2023 |
| Are the short and intense precipitations in North of Italy affected by a significant trend? L Cesarini, MLV Martinaa Climate Risk: Implications for Ecosystem Services and Society, Challenges …, 2019 | 1 | 2019 |
| Comparison of deep learning models for milk production forecasting at national scale L Cesarini, R Gonçalves, M Martina, X Romão, B Monteleone, FL Pereira, ... Computers and Electronics in Agriculture 221, 108933, 2024 | | 2024 |
| Validation of CPM’s wind and precipitation field against observations and the highresolution reanalysis dataset SPHERA L Cesarini, G Fosser EGU24, 2024 | | 2024 |
| A High Resolution Input-Output Model to Assess the Economic Impact of Floods J Di Noia, A Caiani, L Cesarini, B Monteleone Available at SSRN 4728894, 2024 | | 2024 |
| Combination of crop models and machine learning techniques for agricultural parametric insurance B Monteleone, L Cesarini, M Arosio, M Martina EGU General Assembly Conference Abstracts, EGU-8511, 2023 | | 2023 |
| RESILIENCE Project-Extreme Storms in the Italian North-East: frequency, impacts and projected changes E Dallan, M Borga, F Marra, G Fosser, M Martina, M Marani, C Gregoretti, ... Plinius17, 2022 | | 2022 |
| Quantitative analysis of systemic risk: from traditional collective risk assessment to resilience concept M Arosio, L Cesarini, M Martina EGU General Assembly Conference Abstracts, EGU22-11089, 2022 | | 2022 |
| Building exposure datasets using street-level imagery and deep learning object detection models L Cesarini, R Figueiredo, X Romão, M Martina EGU General Assembly Conference Abstracts, EGU22-9406, 2022 | | 2022 |
| QUANTIFY THE DISASTER RESILIENCE OF A CITY BY A REDUNDANT AND ADAPTABLE GRAPH M Arosio, L Cesarini, MLV Martina XXXVIII Convegno Nazionale di Idraulica e Costruzioni Idrauliche, 2022 | | 2022 |
| Indirect impacts: a weak point in the flood risk chain addressed by a graph approach M Arosio, L Cesarini, C ARRIGHI, M Martina Proc. at 7th IAHR Europe Congress, 2022 | | 2022 |
| Exposure modelling of transmission towers using street-level imagery and a deep learning object detection model L Cesarini, R Figueiredo, X Romão, M Martina Proceedings of the International Conference on Natural Hazards and …, 2022 | | 2022 |
| Assessment of the resilience to flood of a complex system: the case of densely populated city M Arosio, L Cesarini, MLV Martina EGU General Assembly Conference Abstracts, EGU21-4116, 2021 | | 2021 |
| Applicability of crop models in the context of parametric insurance-a Caribbean case study B Monteleone, L Cesarini, R Figueiredo, M Martina EGU General Assembly Conference Abstracts, EGU21-10120, 2021 | | 2021 |
| Near real-time identification of extreme events for weather index insurance using machine learning algorithms L Cesarini, R Figueiredo, B Monteleone, M Martina EGU General Assembly Conference Abstracts, EGU21-12930, 2021 | | 2021 |
| Predictor dataset selection method for construction of ML-based Models in flood detection using mutual information MM Bateni, M Martina, L Cesarini EGU General Assembly Conference Abstracts, 19060, 2020 | | 2020 |
| Analysis and identification of historical trend of rainfall extremes over northern Italy. L Cesarini, M Martina, G Petaccia, G Barbero Geophysical Research Abstracts 21, 2019 | | 2019 |
