Alessandro Farasin

发表

A Comparative Analysis for Air Quality Estimation from Traffic and Meteorological Data

Edoardo Arnaudo, Alessandro Farasin, C. Rossi, 2020, Applied Sciences.

Double-Step U-Net: A Deep Learning-Based Approach for the Estimation of Wildfire Damage Severity through Sentinel-2 Satellite Data

Alessandro Farasin, P. Garza, Luca Colomba, 2020, Applied Sciences.

A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery

E. Baralis, Alessandro Farasin, T. Cerquitelli, 2022, CIKM.

Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction

S. Greco, Alessandro Farasin, T. Cerquitelli, 2021, Applied Sciences.

Detection of GNSS Ionospheric Scintillations Based on Machine Learning Decision Tree

Fabio Dovis, Nicola Linty, Alessandro Farasin, 2019, IEEE Transactions on Aerospace and Electronic Systems.

Real-time Object Detection and Tracking in Mixed Reality using Microsoft HoloLens

Marco Grangetto, Paolo Garza, Elena Gianaria, 2020, VISIGRAPP.

PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences

Paolo Garza, Alessandro Farasin, Alessandro Farasin, 2018, ISCRAM.

AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data

Alessandro Farasin, H. Skinnemoen, P. Garza, 2019, MediaEval.

Deep Learning Models for Passability Detection of Flooded Roads

Paolo Garza, Harald Skinnemoen, Laura Lopez-Fuentes, 2018, MediaEval.

Double-Step deep learning framework to improve wildfire severity classification

Elena Baralis, Daniele Apiletti, Paolo Garza, 2021, EDBT/ICDT Workshops.

Estimation of Speed and Distance of Surrounding Vehicles from a Single Camera

Marco Grangetto, Mirko Zaffaroni, Alessandro Farasin, 2019, ICIAP.

Deep Learning Models for Road Passability Detection during Flood Events Using Social Media Data

Paolo Garza, Harald Skinnemoen, Mirko Zaffaroni, 2020, Applied Sciences.