Alessandro Farasin

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 13

Top Topics

Environmental Sciences

Machine Learning

Object Detection And Tracking

Top Venues

AmI (Workshops/Posters)

Publications

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)
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)
Alessandro Farasin, Luca Colomba, Giulio Palomba, Giovanni Nini
Supervised Burned Areas Delineation by Means of Sentinel-2 Imagery and Convolutional Neural Networks. ISCRAM (2020)
Giulio Palomba, Alessandro Farasin, Claudio Rossi
Sentinel-1 Flood Delineation with Supervised Machine Learning. ISCRAM (2020)
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)
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) (2019)
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)
Claudio Rossi, Alessandro Farasin, Giacomo Falcone, Carlotta Castelluccio
uAQE: Urban Air Quality Evaluator. AmI (2019)
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)
Mirko Zaffaroni, Marco Grangetto, Alessandro Farasin
Estimation of Speed and Distance of Surrounding Vehicles from a Single Camera. ICIAP (1) (2019)
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)
Alessandro Farasin, Paolo Garza
PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences. ISCRAM (2018)
Laura Lopez-Fuentes, Alessandro Farasin, Harald Skinnemoen, Paolo Garza
Deep Learning Models for Passability Detection of Flooded Roads. MediaEval (2018)