E-LIB Suche - Ergebnisse für: Prapas, Ioannis

1

Fire Risk Management using Data Cubes, Machine Learning and..:

, In: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems,

Bilidas, Dimitris ; Mantas, Anastasios ; Yfantis, Filippos... - p. 1-4 , 2023

Link: https://dl.acm.org/doi/1..

2

TeleViT: Teleconnection-driven Transformers Improve Subseas..:

, In: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW),

Prapas, Ioannis ; Bountos, Nikolaos Ioannis ; Kondylatos, Spyros... - p. 3756-3761 , 2023

Link: https://doi.org/10.1109/..

3

Wildfire Danger Prediction and Understanding With Deep Lear..:

Kondylatos, Spyros ; Prapas, Ioannis ; Ronco, Michele...
Geophysical Research Letters. 49 (2022) 17 - p. , 2022

Link: https://doi.org/10.1029/..

4

Continuous Training and Deployment of Deep Learning Models:

Prapas, Ioannis ; Derakhshan, Behrouz ; Mahdiraji, Alireza Rezaei.
Datenbank-Spektrum. 21 (2021) 3 - p. 203-212 , 2021

Link: https://doi.org/10.1007/..

5

Towards Human Activity Reasoning with Computational Logic a..:

, In: Proceedings of the 10th Hellenic Conference on Artificial Intelligence,

Prapas, Ioannis ; Paliouras, Georgios ; Artikis, Alexander. - p. 1-4 , 2018

Link: https://dl.acm.org/doi/1..

6

Yolk sac size and embryonic heart rate as prognostic factor..:

Varelas, Fotios K. ; Prapas, Nicolaos M. ; Liang, Ren-Ing..
European Journal of Obstetrics & Gynecology and Reproductive Biology. 138 (2008) 1 - p. 10-13 , 2008

Link: https://doi.org/10.1016/..

7

TeleViT: Teleconnection-driven Transformers Improve Subseas..:

Prapas, Ioannis ; Bountos, Nikolaos Ioannis ; Kondylatos, Spyros...
http://arxiv.org/abs/2306.10940. , 2023

Link: http://arxiv.org/abs/230..

8

SeasFire as a Multivariate Earth System Datacube for Wildfi..:

Karasante, Ilektra ; Alonso, Lazaro ; Prapas, Ioannis...
http://arxiv.org/abs/2312.07199. , 2023

Link: http://arxiv.org/abs/231..

9

Mesogeos: A multi-purpose dataset for data-driven wildfire ..:

Kondylatos, Spyros ; Prapas, Ioannis ; Camps-Valls, Gustau.
http://arxiv.org/abs/2306.05144. , 2023

Link: http://arxiv.org/abs/230..

10

SeasFire Cube: A Global Dataset for Seasonal Fire Modeling ..:

Alonso, Lazaro ; Gans, Fabian ; Karasante, Ilektra...
doi:10.5281/zenodo.6834584. , 2023

Link: https://zenodo.org/recor..

11

Deep learning based landslide density estimation on SAR dat..:

Boehm, Vanessa ; Leong, Wei Ji ; Mahesh, Ragini Bal...
http://arxiv.org/abs/2211.10338. , 2022

Link: http://arxiv.org/abs/221..

12

SAR-based landslide classification pretraining leads to bet..:

Böhm, Vanessa ; Leong, Wei Ji ; Mahesh, Ragini Bal...
http://arxiv.org/abs/2211.09927. , 2022

Link: http://arxiv.org/abs/221..

13

Datacubes for Landslide Detection with SAR Imagery:

Boehm, Vanessa ; Leong, Wei Ji ; Mahesh, Ragini Bal...
doi:10.5281/zenodo.7248055. , 2022

Link: https://zenodo.org/recor..

14

Deep Learning for Global Wildfire Forecasting:

Prapas, Ioannis ; Ahuja, Akanksha ; Kondylatos, Spyros...
http://arxiv.org/abs/2211.00534. , 2022

Link: http://arxiv.org/abs/221..

15

Test Datacube:

Prapas, Ioannis
doi:10.5281/zenodo.7260702. , 2022

Link: https://zenodo.org/recor..