| Wildfire Danger Prediction and Understanding with Deep Learning S Kondylatos, I Prapas, M Ronco, I Papoutsis, G Camps‐Valls, M Piles, ... Geophysical Research Letters, e2022GL099368, 2022 | 87 | 2022 |
| Deep Learning Methods for Daily Wildfire Danger Forecasting I Prapas, S Kondylatos, I Papoutsis, G Camps-Valls, M Ronco, ... arXiv preprint arXiv:2111.02736, 2021 | 31 | 2021 |
| Deep learning for global wildfire forecasting I Prapas, A Ahuja, S Kondylatos, I Karasante, E Panagiotou, L Alonso, ... arXiv preprint arXiv:2211.00534, 2022 | 15 | 2022 |
| Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean S Kondylatos, I Prapas, G Camps-Valls, I Papoutsis Advances in Neural Information Processing Systems 36, 50661-50676, 2023 | 12 | 2023 |
| 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 | 12 | 2023 |
| Seasfire cube: A global dataset for seasonal fire modeling in the earth system L Alonso, F Gans, I Karasante, A Ahuja, I Prapas, S Kondylatos, ... Zenodo: Geneva, Switzerland, 2022 | 7 | 2022 |
| FireCube: A daily datacube for the modeling and analysis of wildfires in Greece I Prapas, S Kondylatos, I Papoutsis URL: https://doi. org/10.5281/zenodo 6475592, 2022 | 7 | 2022 |
| 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 | 6 | 2024 |
| Deep Learning Methods for Daily Wildfire Danger Forecasting. arXiv I Prapas, S Kondylatos, I Papoutsis, G Camps-Valls, M Ronco, ... arXiv preprint arXiv:2111.02736, 2021 | 5 | 2021 |
| Fire risk management using data cubes, machine learning and OBDA systems D Bilidas, A Mantas, F Yfantis, G Stamoulis, M Koubarakis, S Kondylatos, ... Proceedings of the 31st ACM International Conference on Advances in …, 2023 | 4 | 2023 |
| Explainable deep learning for wildfire danger estimation M Ronco, I Prapas, S Kondylatos, I Papoutsis, G Camps-Valls, ... EGU22, 2022 | 2 | 2022 |
| FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction D Michail, C Davalas, LI Panagiotou, I Prapas, S Kondylatos, NI Bountos, ... arXiv preprint arXiv:2502.01550, 2025 | | 2025 |
| Plato: A Semantic Data Cube System using Ontology-Based Data Access Technologies A Mantas, F Yfantis, D Bilidas, G Stamoulis, S Kondylatos, I Prapas, ... IEEE Access, 2024 | | 2024 |
| Short-term Wildfire Danger Forecasting Methods in the Mediterranean Using Deep Learning EI Vrachoriti, I Papoutsis, I Prapas, S Kondylatos | | 2024 |
| AI for Extreme Event Modeling and Understanding: Methodologies and Challenges G Camps-Valls, MÁ Fernández-Torres, KH Cohrs, A Höhl, A Castelletti, ... arXiv preprint arXiv:2406.20080, 2024 | | 2024 |
| Earth System Deep Learning towards a Global Digital Twin of Wildfires I Prapas, I Karasante, A Ahuja, S Kondylatos, E Panagiotou, C Davalas, ... EGU General Assembly Conference Abstracts, EGU-5443, 2023 | | 2023 |
Ioannis PrapasUniversity of Valencia; National Observatory of Athens; National Technical University of Athensalumni.uv.es üzerinde doğrulanmış e-posta adresine sahip