Ioannis Prapas

Deep Learning for Global Wildfire Forecasting

I. Papoutsis, N. Carvalhais, D. Michail, 2022, ArXiv.

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

Freddie Kalaitzis, R. Ramos-Pollán, Siddha Ganju, 2022, ArXiv.

Deep Learning for Global Wildfire Forecasting

I. Papoutsis, N. Carvalhais, D. Michail, 2022, ArXiv.

Wildfire Danger Prediction and Understanding With Deep Learning

I. Papoutsis, M. Piles, N. Carvalhais, 2022, Geophysical Research Letters.

Continuous Training and Deployment of Deep Learning Models

Volker Markl, Alireza Rezaei Mahdiraji, Behrouz Derakhshan, 2021, Datenbank-Spektrum.

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

I. Papoutsis, Ioannis Prapas, Spyros Kondylatos, 2023, NeurIPS.

Deep Learning Methods for Daily Wildfire Danger Forecasting pdf

Nuno Carvalhais, Ioannis Papoutsis, Gustau Camps-Valls, 2021, ArXiv.

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

I. Papoutsis, D. Michail, N. Bountos, 2023, 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Causal Graph Neural Networks for Wildfire Danger Prediction

Ioannis Prapas, Ilektra Karasante, Zhitong Xiong, 2024, ArXiv.

SeasFire as a Multivariate Earth System Datacube for Wildfire Dynamics

N. Carvalhais, Ioannis Prapas, Akanksha Ahuja, 2023, ArXiv.