| Exploring machine learning potential for climate change risk assessment F Zennaro, E Furlan, C Simeoni, S Torresan, S Aslan, A Critto, ... Earth-Science Reviews 220, 103752, 2021 | 43 | 2021 |
| Evaluating the combined effect of climate and anthropogenic stressors on marine coastal ecosystems: Insights from a systematic review of cumulative impact assessment approaches C Simeoni, E Furlan, HV Pham, A Critto, S de Juan, E Trégarot, ... Science of the Total Environment 861, 160687, 2023 | 20 | 2023 |
| A multi-stage analytical framework for the integration of Nature-based Solutions into climate risk management and adaptation E Furlan, E Allegri, C Simeoni, R Simide, G Perez, B O'Leary, C Fonseca, ... EGU General Assembly Conference Abstracts, EGU-14076, 2023 | | 2023 |
| Evaluating the risk of cumulative impacts in the Mediterranean Sea using a Random Forest model A Bianconi, E Furlan, C Simeoni, V Pham, S Vascon, A Critto, ... EGU General Assembly Conference Abstracts, EGU-8702, 2023 | | 2023 |
| A Machine Learning-based approach for the assessment of water quality variation in the Venice Lagoon C Simeoni Università Ca'Foscari Venezia, 2020 | | 2020 |
