research
∙
06/19/2023
TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting
Wildfires are increasingly exacerbated as a result of climate change, ne...
share
research
∙
11/01/2022
Deep Learning for Global Wildfire Forecasting
Climate change is expected to aggravate wildfire activity through the ex...
research
∙
04/20/2022
Hephaestus: A large scale multitask dataset towards InSAR understanding
Synthetic Aperture Radar (SAR) data and Interferometric SAR (InSAR) prod...
research
∙
02/08/2022
Self-supervised Contrastive Learning for Volcanic Unrest Detection
Ground deformation measured from Interferometric Synthetic Aperture Rada...
research
∙
01/09/2022
Learning class prototypes from Synthetic InSAR with Vision Transformers
The detection of early signs of volcanic unrest preceding an eruption, i...
research
∙
11/18/2021
Efficient deep learning models for land cover image classification
The availability of the sheer volume of Copernicus Sentinel imagery has ...
research
∙
07/14/2021
TEACHING – Trustworthy autonomous cyber-physical applications through human-centred intelligence
This paper discusses the perspective of the H2020 TEACHING project on th...
research
∙
04/17/2019
