| Wildfire danger prediction and understanding with Deep Learning S Kondylatos, I Prapas, M Ronco, I Papoutsis, G Camps‐Valls, M Piles, ... Geophysical Research Letters 49 (17), e2022GL099368, 2022 | 39 | 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 | 26 | 2021 |
| Continuous training and deployment of deep learning models I Prapas, B Derakhshan, AR Mahdiraji, V Markl Datenbank-Spektrum 21 (3), 203-212, 2021 | 20 | 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 | 8 | 2022 |
| 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 | 5 | 2023 |
| FireCube: A daily datacube for the modeling and analysis of wildfires in Greece I Prapas, S Kondylatos, I Papoutsis Zenodo. https://doi. org/10.5281/zenodo, 2022 | 5 | 2022 |
| Towards human activity reasoning with computational logic and deep learning I Prapas, G Paliouras, A Artikis, N Baskiotis Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 1-4, 2018 | 5 | 2018 |
| Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes V Boehm, WJ Leong, RB Mahesh, I Prapas, E Nemni, F Kalaitzis, S Ganju, ... arXiv preprint arXiv:2211.02869, 2022 | 3 | 2022 |
| SAR-based landslide classification pretraining leads to better segmentation V Böhm, WJ Leong, RB Mahesh, I Prapas, E Nemni, F Kalaitzis, S Ganju, ... arXiv preprint arXiv:2211.09927, 2022 | 2 | 2022 |
| Explainable deep learning for wildfire danger estimation M Ronco, I Prapas, S Kondylatos, I Papoutsis, G Camps-Valls, ... EGU General Assembly Conference Abstracts, EGU22-11787, 2022 | 2 | 2022 |
| Causal Graph Neural Networks for Wildfire Danger Prediction S Zhao, I Prapas, I Karasante, Z Xiong, I Papoutsis, G Camps-Valls, ... arXiv preprint arXiv:2403.08414, 2024 | 1 | 2024 |
| 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, 2024 | 1 | 2024 |
| SeasFire as a Multivariate Earth System Datacube for Wildfire Dynamics I Karasante, L Alonso, I Prapas, A Ahuja, N Carvalhais, I Papoutsis arXiv preprint arXiv:2312.07199, 2023 | 1 | 2023 |
| 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 |
| 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 | | 2023 |
| 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 |
| DeepSlide: Self-supervised learning on SAR data for change detection WJ Leong, RB Mahesh, I Prapas, V Boehm, R Ramos-Pollan, E Nemni, ... AGU Fall Meeting Abstracts 2022, IN56A-05, 2022 | | 2022 |
| Deep learning based landslide density estimation on SAR data for rapid response V Boehm, WJ Leong, RB Mahesh, I Prapas, E Nemni, F Kalaitzis, S Ganju, ... arXiv preprint arXiv:2211.10338, 2022 | | 2022 |
| Deep Learning Methods for Daily Wildfire Danger Forecasting S Kondylatos, I Prapas, M Ronco | | |
Ioannis PapoutsisNational Technical University of Athens; National Observatory of AthensVerified email at mail.ntua.gr
