Alessandro Farasin

According to our database, Alessandro Farasin authored at least 14 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Satellite Burned Area Dataset.

Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli

Dataset, May, 2022

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

Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Double-Step deep learning framework to improve wildfire severity classification.

Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis

Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021

2020

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

Alessandro Farasin, Francesco Peciarolo, Marco Grangetto, Elena Gianaria, Paolo Garza

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Sentinel-1 Flood Delineation with Supervised Machine Learning.

Giulio Palomba, Alessandro Farasin, Claudio Rossi

Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020

Supervised Burned Areas Delineation by Means of Sentinel-2 Imagery and Convolutional Neural Networks.

Alessandro Farasin, Luca Colomba, Giulio Palomba, Giovanni Nini

Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020

2019

Detection of GNSS Ionospheric Scintillations Based on Machine Learning Decision Tree.

Nicola Linty, Alessandro Farasin, Alfredo Favenza, Fabio Dovis

IEEE Trans. Aerosp. Electron. Syst., 2019

Unsupervised Burned Area Estimation through Satellite Tiles: A Multimodal Approach by Means of Image Segmentation over Remote Sensing Imagery.

Alessandro Farasin, Giovanni Nini, Paolo Garza, Claudio Rossi

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), 2019

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

Mirko Zaffaroni, Laura Lopez-Fuentes, Alessandro Farasin, Paolo Garza, Harald Skinnemoen

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

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

Mirko Zaffaroni, Marco Grangetto, Alessandro Farasin

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

A Machine Learning Approach to Monitor Air Quality from Traffic and Weather Data.

Claudio Rossi, Alessandro Farasin, Giacomo Falcone, Carlotta Castelluccio

Proceedings of the Joint Proceeding of the Poster and Workshop Sessions of AmI-2019, 2019

uAQE: Urban Air Quality Evaluator.

Claudio Rossi, Alessandro Farasin, Giacomo Falcone, Carlotta Castelluccio

Proceedings of the Ambient Intelligence - 15th European Conference, 2019

2018

Deep Learning Models for Passability Detection of Flooded Roads.

Laura Lopez-Fuentes, Alessandro Farasin, Harald Skinnemoen, Paolo Garza

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

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

Alessandro Farasin, Paolo Garza

Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018