| Opening the Black Box: A systematic review on explainable artificial intelligence in remote sensing A Höhl, I Obadic, MÁ Fernández-Torres, H Najjar, DAB Oliveira, Z Akata, ... IEEE Geoscience and Remote Sensing Magazine, 2024 | 8 | 2024 |
| Recent trends challenges and limitations of explainable ai in remote sensing A Höhl, I Obadic, MA Fernández-Torres, D Oliveira, XX Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| USCC: A Benchmark Dataset for Crop Yield Prediction under Climate Extremes A Höhl, S Ofori-Ampofo, I Obadic, MÁ Fernández-Torres, R Salih Kuzu, ... EGU General Assembly Conference Abstracts, EGU-15540, 2023 | 2 | 2023 |
| Artificial intelligence for modeling and understanding extreme weather and climate events G Camps-Valls, MÁ Fernández-Torres, KH Cohrs, A Höhl, A Castelletti, ... Nature Communications 16 (1), 1919, 2025 | | 2025 |
| 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 |
