| Remote sensing big data classification with high performance distributed deep learning R Sedona, G Cavallaro, J Jitsev, A Strube, M Riedel, JA Benediktsson Remote Sensing 11 (24), 3056, 2019 | 36 | 2019 |
| Juwels booster–a supercomputer for large-scale ai research S Kesselheim, A Herten, K Krajsek, J Ebert, J Jitsev, M Cherti, M Langguth, ... High Performance Computing: ISC High Performance Digital 2021 International …, 2021 | 15 | 2021 |
| Practice and experience in using parallel and scalable machine learning with heterogenous modular supercomputing architectures M Riedel, R Sedona, C Barakat, P Einarsson, R Hassanian, G Cavallaro, ... 2021 IEEE International Parallel and Distributed Processing Symposium …, 2021 | 11 | 2021 |
| A high-performance multispectral adaptation GAN for harmonizing dense time series of landsat-8 and sentinel-2 images R Sedona, C Paris, G Cavallaro, L Bruzzone, M Riedel IEEE journal of selected topics in applied earth observations and remote …, 2021 | 8 | 2021 |
| Accelerating hyperparameter tuning of a deep learning model for remote sensing image classification M Aach, R Sedona, A Lintermann, G Cavallaro, H Neukirchen, M Riedel IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 6 | 2022 |
| Evolutionary optimization of neural architectures in remote sensing classification problems D Coquelin, R Sedona, M Riedel, M Götz 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1587 …, 2021 | 6 | 2021 |
| Scaling up a Multispectral RESNET-50 to 128 GPUs R Sedona, G Cavallaro, J Jitsev, A Strube, M Riedel, M Book IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 6 | 2020 |
| Enhancing large batch size training of deep models for remote sensing applications R Sedona, G Cavallaro, M Riedel, M Book 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1583 …, 2021 | 3 | 2021 |
| Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric clouds R Sedona, L Hoffmann, R Spang, G Cavallaro, S Griessbach, M Höpfner, ... Atmospheric measurement techniques 13 (7), 3661-3682, 2020 | 3 | 2020 |
| An automatic approach for the production of a time series of consistent land-cover maps based on long-short term memory R Sedona, C Paris, L Tian, M Riedel, G Cavallaro IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 2 | 2022 |
| Accuracy assessment of land-use-land-cover maps: the semantic gap between in situ and satellite data C Paris, L Martinez-Sanchez, M van der Velde, S Sharma, R Sedona, ... Image and Signal Processing for Remote Sensing XXIX 12733, 187-200, 2023 | 1 | 2023 |
| End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing L Tian, R Sedona, A Mozaffari, E Kreshpa, C Paris, M Riedel, MG Schultz, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 1 | 2023 |
| Scalable machine learning with high performance and cloud computing DIG Cavallaro, MS Memon, R Sedona IEEE international geoscience and remote sensing symposium (IGARSS)(No. FZJ …, 2020 | 1 | 2020 |
| Vectorized Highly Parallel Density-based Clustering for Applications with Noise JX Arnold, JPGH Muriedas, S Nassyr, R Sedona, M Götz, A Streit, ... Authorea Preprints, 2024 | | 2024 |
| Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps using Sentinel-2 Time Series R Sedona, C Paris, J Ebert, M Riedel, G Cavallaro IEEE Geoscience and Remote Sensing Letters, 2023 | | 2023 |
| AI4HPC: Library to Train AI Models on HPC Systems using CFD Datasets E Inanc, R Sarma, M Aach, R Sedona, A Lintermann Workshop on Advancing Neural Network Training: Computational Efficiency …, 2023 | | 2023 |
| Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping R Sedona, J Ebert, C Paris, M Riedel, G Cavallaro IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Scalable Deep Learning for Remote Sensing with High Performance Computing R Sedona University of Iceland, School of Engineering and Natural Sciences, Faculty …, 2023 | | 2023 |
| Challenges and Opportunities in the Adoption of High Performance Computing for Earth Observation in the Exascale Era G Cavallaro, K Michielsen, A Lintermann, M Riedel, R Sedona Conference on Big Data from Space 2023, 2023 | | 2023 |
| JUWELS Booster–A Supercomputer for Large-Scale AI Research J Jitsev, M Cherti, M Langguth, B Gong, S Stadtler, A Mozaffari, ... High Performance Computing: ISC High Performance Digital 2021 International …, 2021 | | 2021 |
