| 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 | 30 | 2019 |
| 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 | 7 | 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 |
| 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 | 5 | 2021 |
| 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 | 5 | 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 | 4 | 2021 |
| 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 | 2 | 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 | 2 | 2020 |
| 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 | 1 | 2022 |
| 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 TechRxiv, 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 |
| 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 | | 2022 |
| 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 |
| Design and Evaluation of an HPC-based Expert System to speed-up Retail Data Analysis using Residual Networks Combined with Parallel Association Rule Mining and Scalable … C Barakat, M Riedel, S Brynjólfsson, G Cavallaro, J Busch, R Sedona 2021 44th International Convention on Information, Communication and …, 2021 | | 2021 |
| Using machine learning method to classify polar stratospheric cloud types from Envisat MIPAS observations R Sedona, L Hoffmann, R Spang, G Cavallaro, S Griessbach, M Höpfner, ... EGU General Assembly Conference Abstracts, 8103, 2020 | | 2020 |
| Scalable Machine Learning with High Performance and Cloud Computing DRINGG CAVALLARO, MS Memon, R Sedona IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020 | | 2020 |
| Scalable Machine Learning with High Performance and Cloud Computing R SEDONA | | |
