Nikolaos-Ioannis Bountos

Orcid: 0000-0003-1615-0196

According to our database1, Nikolaos-Ioannis Bountos authored at least 16 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Hephaestus Minicubes: A Global, Multi-Modal Dataset for Volcanic Unrest Monitoring.
CoRR, May, 2025

Probabilistic Machine Learning for Noisy Labels in Earth Observation.
CoRR, April, 2025

Towards a Unified Copernicus Foundation Model for Earth Vision.
CoRR, March, 2025

On the Generalization of Representation Uncertainty in Earth Observation.
CoRR, March, 2025

FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction.
CoRR, February, 2025

FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks.
CoRR, 2024

Kuro Siwo: 33 billion m<sup>2</sup> under the water. A global multi-temporal satellite dataset for rapid flood mapping.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models.
CoRR, 2023

Kuro Siwo: 12.1 billion m<sup>2</sup> under the water. A global multi-temporal satellite dataset for rapid flood mapping.
CoRR, 2023

TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Learning From Synthetic InSAR With Vision Transformers: The Case of Volcanic Unrest Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

Self-Supervised Contrastive Learning for Volcanic Unrest Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

Learning class prototypes from Synthetic InSAR with Vision Transformers.
CoRR, 2022

Hephaestus: A large scale multitask dataset towards InSAR understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Efficient deep learning models for land cover image classification.
CoRR, 2021


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