| Detection of GNSS ionospheric scintillations based on machine learning decision tree N Linty, A Farasin, A Favenza, F Dovis IEEE Transactions on Aerospace and Electronic Systems 55 (1), 303-317, 2018 | 93 | 2018 |
| Double-step u-net: A deep learning-based approach for the estimation of wildfire damage severity through sentinel-2 satellite data A Farasin, L Colomba, P Garza Applied Sciences 10 (12), 4332, 2020 | 64 | 2020 |
| Real-time object detection and tracking in mixed reality using Microsoft HoloLens A Farasin, F Peciarolo, M Grangetto, E Gianaria, P Garza VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on …, 2020 | 30 | 2020 |
| Attention to fires: Multi-channel deep learning models for wildfire severity prediction S Monaco, S Greco, A Farasin, L Colomba, D Apiletti, P Garza, ... Applied Sciences 11 (22), 11060, 2021 | 26 | 2021 |
| A comparative analysis for air quality estimation from traffic and meteorological data E Arnaudo, A Farasin, C Rossi Applied Sciences 10 (13), 4587, 2020 | 23 | 2020 |
| Deep learning models for road passability detection during flood events using social media data L Lopez-Fuentes, A Farasin, M Zaffaroni, H Skinnemoen, P Garza Applied Sciences 10 (24), 8783, 2020 | 22 | 2020 |
| A dataset for burned area delineation and severity estimation from satellite imagery L Colomba, A Farasin, S Monaco, S Greco, P Garza, D Apiletti, E Baralis, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 16 | 2022 |
| Sentinel-1 Flood Delineation with Supervised Machine Learning G Palomba, A Farasin, C Rossi Proceedings of the 17th International Conference on Information Systems for …, 2020 | 12 | 2020 |
| Supervised Burned Areas Delineation by Means of Sentinel-2 Imagery and Convolutional Neural Networks. A Farasin, L Colomba, G Palomba, G Nini, C Rossi ISCRAM, 1060-1071, 2020 | 12 | 2020 |
| Deep Learning models for passability detection of flooded roads L Lopez-Fuentes, A Farasin, H Skinnemoen, P Garza MediaEval 2018 Multimedia Benchmark Workshop 2283, 2018 | 9 | 2018 |
| A machine learning approach to GNSS scintillation detection: automatic soft inspection of the events A Favenza, A Farasin, N Linty, F Dovis ION GNSS+ 2017, 4103, 2017 | 9 | 2017 |
| Unsupervised Burned Area Estimation through Satellite Tiles: A Multimodal Approach by Means of Image Segmentation over Remote Sensing Imagery. A Farasin, G Nini, P Garza, C Rossi MACLEAN@ PKDD/ECML, 2019 | 8 | 2019 |
| Double-Step deep learning framework to improve wildfire severity classification. S Monaco, A Pasini, D Apiletti, L Colomba, A Farasin, P Garza, E Baralis EDBT/ICDT Workshops, 2021 | 5 | 2021 |
| Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications A Farasin, F Peciarolo, M Grangetto, E Gianaria, P Garza SciTePress, 2020 | 5 | 2020 |
| AI-based flood event understanding and quantification using online media and satellite data M Zaffaroni, L Lopez-Fuentes, A Farasin, P Garza, H Skinnemoen CEUR WORKSHOP PROCEEDINGS 2670, 2019 | 5 | 2019 |
| A Machine Learning Approach to Monitor Air Quality from Traffic and Weather data C Rossi, A Farasin, G Falcone, C Castelluccio CEUR-WS 2492 (66-74), 2019 | 5 | 2019 |
| PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences A Farasin, P Garza ISCRAM, 1081, 2018 | 3 | 2018 |
| UAQE: Urban air quality evaluator C Rossi, A Farasin, G Falcone, C Castelluccio Ambient Intelligence: 15th European Conference, AmI 2019, Rome, Italy …, 2019 | 2 | 2019 |
| Estimation of speed and distance of surrounding vehicles from a single camera M Zaffaroni, M Grangetto, A Farasin Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019 | 1 | 2019 |
| Data science for geo-referenced and heterogeneous data analysis with applications in the emergency management domain A Farasin Politecnico di Torino, 2021 | | 2021 |
Paolo GarzaAssociate Professor, Politecnico di TorinoVerified email at polito.it
