Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Deep Learning Methods for Daily Wildfire Danger Forecasting.

I. Prapas, S. Kondylatos, I. Papoutsis, G. Camps-Valls, M. Ronco, M. Fernández-Torres, M. Guillem, and N. Carvalhais. CoRR, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Ioannis Tzamichas

Ioannis Filippis

Ioannis Efthimiadis

Ioannis Vardoulakis

Ioannis Sikiotis

Other publications of authors with the same name

Deep Learning for Global Wildfire Forecasting.I. Prapas, A. Ahuja, S. Kondylatos, I. Karasante, E. Panagiotou, L. Alonso, C. Davalas, D. Michail, N. Carvalhais, and I. Papoutsis. CoRR, (2022)Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes.V. Böhm, W. Leong, R. Mahesh, I. Prapas, E. Nemni, F. Kalaitzis, S. Ganju, and R. Ramos-Pollán. CoRR, (2022)Causal Graph Neural Networks for Wildfire Danger Prediction.S. Zhao, I. Prapas, I. Karasante, Z. Xiong, I. Papoutsis, G. Camps-Valls, and X. Zhu. CoRR, (2024)Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean.S. Kondylatos, I. Prapas, G. Camps-Valls, and I. Papoutsis. CoRR, (2023)Fire Risk Management using Data Cubes, Machine Learning and OBDA systems.D. Bilidas, A. Mantas, F. Yfantis, G. Stamoulis, M. Koubarakis, S. Kondylatos, I. Prapas, and I. Papoutsis. SIGSPATIAL/GIS, page 34:1-34:4. ACM, (2023)SAR-based landslide classification pretraining leads to better segmentation.V. Böhm, W. Leong, R. Mahesh, I. Prapas, E. Nemni, F. Kalaitzis, S. Ganju, and R. Ramos-Pollán. CoRR, (2022)TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting.I. Prapas, N. Bountos, S. Kondylatos, D. Michail, G. Camps-Valls, and I. Papoutsis. ICCV (Workshops), page 3756-3761. IEEE, (2023)Deep Learning Methods for Daily Wildfire Danger Forecasting.I. Prapas, S. Kondylatos, I. Papoutsis, G. Camps-Valls, M. Ronco, M. Fernández-Torres, M. Guillem, and N. Carvalhais. CoRR, (2021)Deep learning based landslide density estimation on SAR data for rapid response.V. Boehm, W. Leong, R. Mahesh, I. Prapas, E. Nemni, F. Kalaitzis, S. Ganju, and R. Ramos-Pollán. CoRR, (2022)SeasFire as a Multivariate Earth System Datacube for Wildfire Dynamics.I. Karasante, L. Alonso, I. Prapas, A. Ahuja, N. Carvalhais, and I. Papoutsis. CoRR, (2023)

BibSonomy

Disambiguation of "Prapas, Ioannis"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Deep Learning Methods for Daily Wildfire Danger Forecasting.

Please choose a person to relate this publication to

Ioannis Tzamichas

Ioannis Filippis

Ioannis Efthimiadis

Ioannis Vardoulakis

Ioannis Sikiotis

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Prapas, Ioannis"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Learning Methods for Daily Wildfire Danger Forecasting.

Please choose a person to relate this publication to

Ioannis Tzamichas

Ioannis Filippis

Ioannis Efthimiadis

Ioannis Vardoulakis

Ioannis Sikiotis

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Deep Learning Methods for Daily Wildfire Danger Forecasting.