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Nikolaos Ioannis Bountos
Nikolaos Ioannis Bountos
Dirección de correo verificada de noa.gr
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Benchmarking and scaling of deep learning models for land cover image classification
I Papoutsis, NI Bountos, A Zavras, D Michail, C Tryfonopoulos
ISPRS Journal of Photogrammetry and Remote Sensing 195, 250-268, 2023
29*2023
Self-supervised contrastive learning for volcanic unrest detection
NI Bountos, I Papoutsis, D Michail, N Anantrasirichai
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
152021
Learning from synthetic InSAR with vision transformers: The case of volcanic unrest detection
NI Bountos, D Michail, I Papoutsis
IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022
13*2022
Hephaestus: A large scale multitask dataset towards InSAR understanding
NI Bountos, I Papoutsis, D Michail, A Karavias, P Elias, I Parcharidis
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
62022
Televit: Teleconnection-driven transformers improve subseasonal to seasonal wildfire forecasting
I Prapas, NI Bountos, S Kondylatos, D Michail, G Camps-Valls, I Papoutsis
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
52023
FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models
NI Bountos, A Ouaknine, D Rolnick
arXiv preprint arXiv:2312.10114, 2023
12023
Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks
D Michail, LI Panagiotou, C Davalas, I Prapas, S Kondylatos, NI Bountos, ...
arXiv preprint arXiv:2404.06437, 2024
2024
FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models.
A Ouaknine, NI Bountos, D Rolnick
AGU23, 2023
2023
Kuro Siwo: 12.1 billion under the water. A global multi-temporal satellite dataset for rapid flood mapping
NI Bountos, M Sdraka, A Zavras, I Karasante, A Karavias, T Herekakis, ...
arXiv preprint arXiv:2311.12056, 2023
2023
Pluto: A global volcanic activity early warning system powered by large scale self-supervised deep learning on InSAR data
NI Bountos, D Michail, T Herekakis, A Thanasou, I Papoutsis
EGU23, 2023
2023
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