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Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News Content.

, and . MediaEval, volume 2670 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)

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Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter., , , , , , , and . Remote. Sens., 13 (6): 1153 (2021)Apprentissage par transfert et données mixtes pour évaluer l'importance de crues à partir d'articles d'information., , and . EGC, volume E-36 of RNTI, page 317-324. Éditions RNTI, (2020)Computing flood probabilities using Twitter: application to the Houston urban area during Harvey., , , , , , and . CoRR, (2020)A Proposition of Interactive Visual Clustering System., and . VAMP@EuroVis, Eurographics Association, (2013)Extracting localized information from a Twitter corpus for flood prevention., , , , , , and . CoRR, (2019)Cold Start Active Learning Strategies in the Context of Imbalanced Classification., , , and . CoRR, (2022)Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News Content., and . MediaEval, volume 2670 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Extracting Flood Maps from Social Media for Assimilation., , and . eScience, page 272-273. IEEE Computer Society, (2018)Parallelization of Data Science Tasks, an Experimental Overview., , , and . ICCPR, page 483-490. ACM, (2022)Astronomical Images Quality Assessment with Automated Machine Learning., , and . DATA, page 279-286. SCITEPRESS, (2023)