@InProceedings{LauraLopez-Fuentes2018,
author="Laura Lopez-Fuentes
and Alessandro Farasin
and Harald Skinnemoen
and Paolo Garza",
title="Deep Learning models for passability detection of flooded roads",
booktitle="MediaEval 2018 Multimedia Benchmark Workshop",
year="2018",
volume="2283",
abstract="In this paper we study and compare several approaches to detect floods and evidence for passability of roads by conventional means in Twitter. We focus on tweets containing both visual information (a picture shared by the user) and metadata, a combination of text and related extra information intrinsic to the Twitter API. This work has been done in the context of the MediaEval 2018 Multimedia Satellite Task.",
optnote="LAMP; 600.084; 600.109; 600.120",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3224), last updated on Thu, 28 Mar 2019 10:34:29 +0100",
file=":http://refbase.cvc.uab.es/files/LFS2018.pdf:PDF"
}