On July 8th Timo Stomberg, KI:STE doctoral researcher, presented jUngle-Net at the ISPRS Congress 2021. jUngle-Net is an explainable neural network which we use to gain new insights into the…
Our contribution to the KI:STE project combines the geohazards modeling expertise of the Computational Geoscience group at the Geoscience Centre at Georg-August University of Göttingen led by Prof. Julia Kowalski,…
The preprint of the article “AQ-Bench: A Benchmark Dataset for Machine Learning on Global Air Quality Metrics” by Clara Betancourt et al. is now in the public discussion phase. Creating…