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Journal Articles
- 2019
[j1]Nicola Linty
, Alessandro Farasin, Alfredo Favenza, Fabio Dovis:
Detection of GNSS Ionospheric Scintillations Based on Machine Learning Decision Tree. IEEE Trans. Aerosp. Electron. Syst. 55(1): 303-317 (2019)
Conference and Workshop Papers
- 2022
- [c12]Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. CIKM 2022: 3893-3897 - 2021
- [c11]Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis:
Double-Step deep learning framework to improve wildfire severity classification. EDBT/ICDT Workshops 2021 - 2020
- [c10]Alessandro Farasin, Luca Colomba, Giulio Palomba, Giovanni Nini:
Supervised Burned Areas Delineation by Means of Sentinel-2 Imagery and Convolutional Neural Networks. ISCRAM 2020: 1060-1071 - [c9]Giulio Palomba, Alessandro Farasin, Claudio Rossi:
Sentinel-1 Flood Delineation with Supervised Machine Learning. ISCRAM 2020: 1072-1083 - [c8]Alessandro Farasin, Francesco Peciarolo, Marco Grangetto, Elena Gianaria, Paolo Garza:
Real-time Object Detection and Tracking in Mixed Reality using Microsoft HoloLens. VISIGRAPP (4: VISAPP) 2020: 165-172 - 2019
- [c7]Claudio Rossi, Alessandro Farasin, Giacomo Falcone, Carlotta Castelluccio:
A Machine Learning Approach to Monitor Air Quality from Traffic and Weather Data. AmI (Workshops/Posters) 2019: 66-74 - [c6]Claudio Rossi, Alessandro Farasin, Giacomo Falcone, Carlotta Castelluccio:
uAQE: Urban Air Quality Evaluator. AmI 2019: 337-343 - [c5]Mirko Zaffaroni, Marco Grangetto, Alessandro Farasin:
Estimation of Speed and Distance of Surrounding Vehicles from a Single Camera. ICIAP (1) 2019: 388-398 - [c4]Mirko Zaffaroni, Laura Lopez-Fuentes, Alessandro Farasin, Paolo Garza, Harald Skinnemoen:
AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data. MediaEval 2019 - [c3]Alessandro Farasin, Giovanni Nini, Paolo Garza, Claudio Rossi:
Unsupervised Burned Area Estimation through Satellite Tiles: A Multimodal Approach by Means of Image Segmentation over Remote Sensing Imagery. MACLEAN@PKDD/ECML 2019 - 2018
- [c2]Alessandro Farasin, Paolo Garza:
PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences. ISCRAM 2018 - [c1]Laura Lopez-Fuentes, Alessandro Farasin, Harald Skinnemoen, Paolo Garza:
Deep Learning Models for Passability Detection of Flooded Roads. MediaEval 2018
Data and Artifacts
- 2022
- [d1]Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
Satellite Burned Area Dataset. Zenodo, 2022
Coauthor Index
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