| Deep learning for land use and land cover classification based on hyperspectral and multispectral earth observation data: A review A Vali, S Comai, M Matteucci Remote Sensing 12 (15), 2495, 2020 | 365 | 2020 |
| Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review. Remote Sens. 12, 2495 A Vali, S Comai, M Matteucci | 10 | 2020 |
| Accessible urban routes reconstruction by fusing mobile sensors data G Bardaro, A Vali, S Comai, M Matteucci Proceedings of the 13th International Conference on Advances in Mobile …, 2015 | 8 | 2015 |
| Deep learning for land use and land cover classification based on hyperspectral and multispectral earth observation data: a review. Remote Sens 12 (15): 2495 A Vali, S Comai, M Matteucci july, 2020 | 6 | 2020 |
| Hyperspectral image analysis for automatic detection and discrimination of residual manufacturing contaminants A Vali, P Krämer, R Strzoda, S Comai, AM Gigler, M Matteucci 2021 26th IEEE International Conference on Emerging Technologies and Factory …, 2021 | 5 | 2021 |
| Maps for easy paths (MEP): a Mobile application for City accessibility S Comai, E De Bernardi, F Salice, A Vali Mobile Solutions and Their Usefulness in Everyday Life, 105-125, 2019 | 4 | 2019 |
| An automated machine learning framework for adaptive and optimized hyperspectral-based land cover and land-use segmentation A Vali, S Comai, M Matteucci Remote Sensing 16 (14), 2561, 2024 | 1 | 2024 |
| Hyperspectral Image Analysis and Advanced Feature Engineering for Optimized Classification and Data Acquisition AVA VALI Politecnico di Milano, 2022 | 1 | 2022 |
| A set of tools for the collection of data about the accessibility of city paths and for the geo-localization of images using a 3D map AVA VALI Politecnico di Milano, 2014 | 1 | 2014 |
