| Benchmarking and feasibility aspects of machine learning in space systems A Raoofy, G Dax, V Serra, M Ghiglione, M Werner, C Trinitis Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022 | 7 | 2022 |
| Machine learning application benchmark for in-orbit on-board data processing M Ghiglione, A Raoofy, G Dax, G Furano, R Wiest, C Trinitis, M Werner, ... European Workshop on On-Board Data Processing, 2021 | 5 | 2021 |
| Computational challenges for artificial intelligence and machine learning in environmental research M Werner, G Dax, M Laass Gesellschaft für Informatik, Bonn, 2021 | 5 | 2021 |
| Accurate monitoring of the danube delta dynamics using copernicus data CO Dumitru, G Dax, G Schwarz, C Cazacu, MC Adamescu, M Datcu Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water …, 2019 | 5 | 2019 |
| Semi-Supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation H Li, Z Yuan, G Dax, G Kong, H Fan, A Zipf, M Werner arXiv preprint arXiv:2307.02574, 2023 | 4 | 2023 |
| Compression supports spatial deep learning G Dax, S Nagarajan, H Li, M Werner IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 4 | 2022 |
| Survey of frameworks for inference of neural networks in space data systems M Ghiglione, V Serra, A Raoofy, G Dax, C Trinitis, M Werner, M Schulz, ... Data Systems in Aerospace (DASIA). Eurospace, 2022 | 3 | 2022 |
| Machine learning application benchmark A Koch, M Petry, M Ghiglione, A Raoofy, G Dax, G Furano, M Werner, ... Proceedings of the 20th ACM International Conference on Computing Frontiers …, 2023 | 2 | 2023 |
| Information-optimal abstaining for reliable classification of building functions G Dax, M Werner AGILE: GIScience Series 2, 1-10, 2021 | 2 | 2021 |
| Trajectory similarity using compression G Dax, M Werner 2021 22nd IEEE International Conference on Mobile Data Management (MDM), 169-174, 2021 | 1 | 2021 |
| Benchmarking Machine Learning Inference in FPGA-based Accelerated Space Applications A Raoofy, G Dax, M Ghiglione, M Langer, C Trinitis, M Werner, M Schulz Proceedings of the Workshop on Benchmarking Machine Learning Workloads co …, 2021 | 1 | 2021 |
| Aspects of Algorithmic Information Theory in Spatial Machine Learning G Dax Technische Universität München, 2024 | | 2024 |
| Reference Implementations for Machine Learning Application Benchmark A Koch, G Dax, M Petry, H Gomez, A Raoofy, U Saroliya, M Ghiglione, ... 2023 European Data Handling & Data Processing Conference (EDHPC), 1-3, 2023 | | 2023 |
| Global Active Fire Detection–Towards a SAR-enabled Multi-Sensor Global Monitoring System D Denizoglu, G Dax, S Nagarajan, N Zhang, M Werner Living Planet Symposium 2022, 2022 | | 2022 |
| Genetic Algorithm for Improved Transfer Learning Through Bagging Color-Adjusted Models G Dax, M Laass, M Werner 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2612 …, 2021 | | 2021 |
| Forest and Vegetation Monitoring Using Sentinel-2 Imagery in the Northern Part of Democratic Republic of Congo SM Zeya, A Theofanidis, G Dax, M Werner Proceedings of the 24th AGILE Conference on Geographic Information Science …, 2021 | | 2021 |
| ObservaToriUM: A Simple Scalable Earth Observation Processing Engine S Götzer, M Laass, G Dax, M Werner Symposium für Angewandte Geoinformatik (AGIT'2021), 2021 | | 2021 |
| Change detection of Lake Starnberg, Germany using NDVI and Sentinel 2 S Alam, M Ahmed, G Dax, M Werner Symposium für Angewandte Geoinformatik (AGIT'2021), 2021 | | 2021 |
| Selection of Reliable Machine Learning Algorithms for Geophysical Applications CO Dumitru, G Schwarz, D Ao, G Dax, V Andrei, C Karmakar, M Datcu EGU2020, 2020 | | 2020 |
| Active and Machine Learning for Earth Observation Image Analysis with Traditional and Innovative Approaches CO Dumitru, G Schwarz, G Dax, V Andrei, D Ao, M Datcu Principles of Data Science, 207-231, 2020 | | 2020 |
