| Tslearn, a machine learning toolkit for time series data R Tavenard, J Faouzi, G Vandewiele, F Divo, G Androz, C Holtz, M Payne, ... Journal of machine learning research 21 (118), 1-6, 2020 | 566 | 2020 |
| Multi-temporal land cover classification with sequential recurrent encoders M Rußwurm, M Körner ISPRS International Journal of Geo-Information 7 (4), 129, 2018 | 321 | 2018 |
| Self-attention for raw optical satellite time series classification M Rußwurm, M Körner ISPRS Journal of Photogrammetry and Remote Sensing 169, 421-435, 2020 | 270 | 2020 |
| Temporal vegetation modelling using long short-term memory networks for crop identification from medium-resolution multi-spectral satellite images M Rußwurm, M Körner Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 251 | 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 | 125 | 2019 |
| Meta-learning for few-shot land cover classification M Rußwurm, S Wang, M Körner, D Lobell Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 103 | 2020 |
| Multi-temporal land cover classification with long short-term memory neural networks M Rußwurm, M Körner The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 98 | 2017 |
| Breizhcrops: A time series dataset for crop type mapping M Rußwurm, C Pelletier, M Zollner, S Lefèvre, M Körner The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 97 | 2020 |
| End-to-end learned early classification of time series for in-season crop type mapping M Rußwurm, S Lefevre, N Courty, R Emonet, M Körner, R Tavenard ISPRS Journal of Photogrammetry and Remote Sensing 196, 445-456, 2023 | 91* | 2023 |
| 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 | 70* | 2017 |
| Convolutional LSTMs for cloud-robust segmentation of remote sensing imagery M Rußwurm, M Körner NeurIPS 2018 Workshop on Modeling and decision-making in the spatiotemporal …, 2018 | 49 | 2018 |
| 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, ... 35th Conference on Neural Information Processing Systems Datasets and …, 2021 | 44 | 2021 |
| Breizhcrops: A satellite time series dataset for crop type identification M Rußwurm, S Lefèvre, M Körner Time Series Workshop at the International Conference on Machine Learning (ICML), 2019 | 43 | 2019 |
| Early Classification for Agricultural Monitoring from Satellite Time Series M Rußwurm, R Tavenard, S Lefèvre, M Körner AI for Social Good Workshop at the International Conference on Machine …, 2019 | 29 | 2019 |
| Satclip: Global, general-purpose location embeddings with satellite imagery K Klemmer, E Rolf, C Robinson, L Mackey, M Rußwurm arXiv preprint arXiv:2311.17179, 2023 | 27 | 2023 |
| 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 | 27 | 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 | 21 | 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 | 21 | 2020 |
| Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks M Rußwurm, K Klemmer, E Rolf, R Zbinden, D Tuia Proceedings of The Twelfth International Conference on Learning …, 2024 | 12 | 2024 |
| Meta-learning for few-shot time series classification S Wang, M Rußwurm, M Körner, DB Lobell IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 12 | 2020 |
Marco KörnerTechnical University of Munich (TUM)Verified email at tum.de
