Deep Learning Methods for Daily Wildfire Danger Forecasting

Deep Learning Methods for Daily Wildfire Danger Forecasting

4 November 2021

Spyros Kondylatos

Ioannis Papoutsis

Gustau Camps-Valls

Miguel-Ángel Fernández-Torres

Nuno Carvalhais

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Papers citing "Deep Learning Methods for Daily Wildfire Danger Forecasting"

7 / 7 papers shown

Title
Wildfire spread forecasting with Deep Learning Nikolaos Anastasiou Spyros Kondylatos Ioannis Papoutsis 150 0 0 23 May 2025
ATM-Net: Anatomy-Aware Text-Guided Multi-Modal Fusion for Fine-Grained Lumbar Spine Segmentation Sheng Lian Dengfeng Pan Jianlong Cai Guang-Yong Chen Zhun Zhong Zhiming Luo Shen Zhao Shuo Li 82 1 0 04 Apr 2025
Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting Mohamad Hakam Shams Eddin R. Roscher Juergen Gall 88 10 0 16 Dec 2022
A General Purpose Neural Architecture for Geospatial Systems Nasim Rahaman Martin Weiss Frederik Trauble Francesco Locatello Alexandre Lacoste Yoshua Bengio C. Pal Li Erran Li Bernhard Schölkopf AI4TS AI4CE 55 6 0 04 Nov 2022
Deep Learning for Global Wildfire Forecasting Ioannis Prapas Akanksha Ahuja Spyros Kondylatos Ilektra Karasante Eleanna Panagiotou Lazaro Alonso Charalampos Davalas Dimitrios Michail Nuno Carvalhais Ioannis Papoutsis 79 13 0 01 Nov 2022
NumS: Scalable Array Programming for the Cloud Melih Elibol Vinamra Benara Samyukta Yagati Lianmin Zheng Alvin Cheung Michael I. Jordan Ion Stoica 68 4 0 28 Jun 2022
Hephaestus: A large scale multitask dataset towards InSAR understanding Nikolaos Ioannis Bountos Ioannis Papoutsis Dimitrios Michail Andreas Karavias P. Elias I. Parcharidis 89 13 0 20 Apr 2022