| Tslearn, a machine learning toolkit for time series data. R Tavenard, J Faouzi, G Vandewiele, F Divo, G Androz, C Holtz, M Payne, ... J. Mach. Learn. Res. 21 (118), 1-6, 2020 | 190 | 2020 |
| Multi-temporal land cover classification with sequential recurrent encoders M Rußwurm, M Körner ISPRS International Journal of Geo-Information 7 (4), 129, 2018 | 173 | 2018 |
| Temporal vegetation modelling using long short-term memory networks for crop identification from medium-resolution multi-spectral satellite images M Rußwurm, M Korner Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 146 | 2017 |
| Self-attention for raw optical satellite time series classification M Rußwurm, M Körner ISPRS journal of photogrammetry and remote sensing 169, 421-435, 2020 | 86 | 2020 |
| MULTI-TEMPORAL LAND COVER CLASSIFICATION WITH LONG SHORT-TERM MEMORY NEURAL NETWORKS. M Rußwurm, M Körner International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2017 | 70 | 2017 |
| Multi3Net: segmenting flooded buildings via fusion of multiresolution, multisensor, and multitemporal satellite imagery TGJ Rudner, M Rußwurm, J Fil, R Pelich, B Bischke, V Kopačková, ... Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 702-709, 2019 | 63 | 2019 |
| Meta-learning for few-shot land cover classification M Rußwurm, S Wang, M Korner, D Lobell Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 47 | 2020 |
| tslearn: A machine learning toolkit dedicated to time-series data R Tavenard, J Faouzi, G Vandewiele, F Divo, G Androz, C Holtz, M Payne, ... Tslearn: A Machine Learning Toolkit Dedicated to Time-Series Data, 2017 | 43 | 2017 |
| Breizhcrops: A time series dataset for crop type mapping M Rußwurm, C Pelletier, M Zollner, S Lefèvre, M Körner arXiv preprint arXiv:1905.11893, 2019 | 34 | 2019 |
| End-to-end learning for early classification of time series M Rußwurm, S Lefevre, N Courty, R Emonet, M Körner, R Tavenard arXiv preprint arXiv:1901.10681, 2019 | 24 | 2019 |
| Convolutional LSTMs for cloud-robust segmentation of remote sensing imagery M Rußwurm, M Körner arXiv preprint arXiv:1811.02471, 2018 | 24 | 2018 |
| tslearn: A machine learning toolkit dedicated to time-series data, 2017 R Tavenard, J Faouzi, G Vandewiele, F Divo, G Androz, C Holtz, M Payne, ... URL https://github. com/rtavenar/tslearn, 0 | 24 | |
| Breizhcrops: A satellite time series dataset for crop type identification M Rußwurm, S Lefèvre, M Körner Proceedings of the International Conference on Machine Learning Time Series …, 2019 | 23 | 2019 |
| Early classification for agricultural monitoring from satellite time series M Rußwurm, R Tavenard, S Lefèvre, M Körner arXiv preprint arXiv:1908.10283, 2019 | 16 | 2019 |
| DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space L Kondmann, A Toker, M Rußwurm, A Camero Unzueta, D Peressuti, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 9 | 2021 |
| InSAR Displacement Time Series Mining: A Machine Learning Approach H Ansari, M Ruβwurm, M Ali, S Montazeri, A Parizzi, XX Zhu 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3301 …, 2021 | 4 | 2021 |
| Model and data uncertainty for satellite time series forecasting with deep recurrent models M Rußwurm, M Ali, XX Zhu, Y Gal, M Körner IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 4 | 2020 |
| Rapid Computer Vision-Aided Disaster Response via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery TGJ Rudner, M Rußwurm, J Fil, R Pelich, B Bischke, V Kopacková, ... Proceedings of the First Workshop on AI for Social Good. Neural Information …, 2018 | 4 | 2018 |
| Towards detecting floating objects on a global scale with learned spatial features using sentinel 2 J Mifdal, N Longépé, M Rußwurm ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2021 | 2 | 2021 |
| Sequential Recurrent Encoders for Land Cover Mapping in the Brazilian Amazon using MODIS Imagery and Auxiliary Datasets A Coca-Castro, M Rußwurm, L Reymondin, M Mulligan IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 2 | 2019 |
Marco KörnerTechnische Universität MünchenVerified email at tum.de
