Ioannis Prapas | DeepAI

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Featured Co-authors

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Dimitrios Michail
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Edoardo Nemni
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Raul Ramos-Pollan
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Nikolaos-Ioannis Bountos
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Vanessa Böhm
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Spyros Kondylatos
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Vanessa Boehm
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∙ 06/19/2023

TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting

Wildfires are increasingly exacerbated as a result of climate change, ne...

0 Ioannis Prapas, et al. ∙

∙ 06/08/2023

Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean

We introduce Mesogeos, a large-scale multi-purpose dataset for wildfire ...

0 Spyros Kondylatos, et al. ∙

∙ 11/18/2022

Deep learning based landslide density estimation on SAR data for rapid response

This work aims to produce landslide density estimates using Synthetic Ap...

0 Vanessa Boehm, et al. ∙

∙ 11/17/2022

SAR-based landslide classification pretraining leads to better segmentation

Rapid assessment after a natural disaster is key for prioritizing emerge...

0 Vanessa Böhm, et al. ∙

∙ 11/05/2022

Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes

With climate change predicted to increase the likelihood of landslide ev...

0 Vanessa Boehm, et al. ∙

∙ 11/01/2022

Deep Learning for Global Wildfire Forecasting

Climate change is expected to aggravate wildfire activity through the ex...

0 Ioannis Prapas, et al. ∙

∙ 11/04/2021

Deep Learning Methods for Daily Wildfire Danger Forecasting

Wildfire forecasting is of paramount importance for disaster risk reduct...

0 Ioannis Prapas, et al. ∙

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