| Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing A Höhl, I Obadic, MÁF Torres, H Najjar, D Oliveira, Z Akata, A Dengel, ... arXiv preprint arXiv:2402.13791, 2024 | 6 | 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 |
| 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 | 1 | 2024 |
| 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 | | 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 |
