| 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 | 59 | 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 | 24 | 2021 |
| A data-driven based dynamic rebalancing methodology for bike sharing systems M Cipriano, L Colomba, P Garza Applied Sciences 11 (15), 6967, 2021 | 17 | 2021 |
| 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 | 14 | 2022 |
| Improving wildfire severity classification of deep learning U-nets from satellite images S Monaco, A Pasini, D Apiletti, L Colomba, P Garza, E Baralis 2020 IEEE International Conference on Big Data (Big Data), 5786-5788, 2020 | 12 | 2020 |
| Italic: An italian intent classification dataset A Koudounas, M La Quatra, L Vaiani, L Colomba, G Attanasio, E Pastor, ... arXiv preprint arXiv:2306.08502, 2023 | 11 | 2023 |
| 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 | 10 | 2020 |
| CaBuAr: California burned areas dataset for delineation [Software and Data Sets] DR Cambrin, L Colomba, P Garza IEEE Geoscience and Remote Sensing Magazine 11 (3), 106-113, 2023 | 7 | 2023 |
| Vision Transformers for Burned Area Delineation. DR Cambrin, L Colomba, P Garza MACLEAN@ PKDD/ECML, 2022 | 5 | 2022 |
| 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 |
| CaBuAr: California Burned Areas dataset for delineation DR Cambrin, L Colomba, P Garza arXiv preprint arXiv:2401.11519, 2024 | 4 | 2024 |
| Density-Based Clustering by Means of Bridge Point Identification L Colomba, L Cagliero, P Garza IEEE Transactions on Knowledge and Data Engineering 35 (11), 11274-11287, 2022 | 2 | 2022 |
| Mining spatiotemporally invariant patterns L Colomba, L Cagliero, P Garza Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 2 | 2022 |
| ViGEO: an Assessment of Vision GNNs in Earth Observation L Colomba, P Garza 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 816-822, 2023 | 1 | 2023 |
| Spatial data science: from aerial data to discrete spatio-temporal event analysis L Colomba Politecnico di Torino, 2024 | | 2024 |
| Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment DR Cambrin, GS Militone, L Colomba, G Malnati, D Apiletti, P Garza arXiv preprint arXiv:2408.08396, 2024 | | 2024 |
| Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment D Rege Cambrin, G Scaffidi Militone, L Colomba, G Malnati, D Apiletti, ... arXiv e-prints, arXiv: 2408.08396, 2024 | | 2024 |
| CaBuAr: California Burned Areas dataset for delineation D Rege Cambrin, L Colomba, P Garza arXiv e-prints, arXiv: 2401.11519, 2024 | | 2024 |
| Vision Transformers for Burned Area Delineation D Rege Cambrin, L Colomba, P Garza CEUR Workshop Proceedings 3343, 2023 | | 2023 |
| Automatic processing of satellite acquisitions for burnt area detection and damage estimation L Colomba Politecnico di Torino, 2019 | | 2019 |
Paolo GarzaAssociate Professor, Politecnico di TorinoDirección de correo verificada de polito.it
