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Marc Rußwurm
Marc Rußwurm
Assistant Professor Wageningen University
Bestätigte E-Mail-Adresse bei wur.nl - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
4912020
Multi-temporal land cover classification with sequential recurrent encoders
M Rußwurm, M Körner
ISPRS International Journal of Geo-Information 7 (4), 129, 2018
2952018
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
2362017
Self-attention for raw optical satellite time series classification
M Rußwurm, M Körner
ISPRS journal of photogrammetry and remote sensing 169, 421-435, 2020
2352020
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
1162019
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
982020
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
952017
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
852019
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
492017
Convolutional LSTMs for cloud-robust segmentation of remote sensing imagery
M Rußwurm, M Körner
arXiv preprint arXiv:1811.02471, 2018
482018
End-to-end learning for early classification of time series
M Rußwurm, S Lefevre, N Courty, R Emonet, M Körner, R Tavenard
432019
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
392019
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
372021
End-to-end learned early classification of time series for in-season crop type mapping
M Rußwurm, N Courty, R Emonet, S Lefèvre, D Tuia, R Tavenard
ISPRS Journal of Photogrammetry and Remote Sensing 196, 445-456, 2023
332023
Early classification for agricultural monitoring from satellite time series
M Rußwurm, R Tavenard, S Lefèvre, M Körner
arXiv preprint arXiv:1908.10283, 2019
282019
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
26
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
252021
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
192020
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
182021
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
142023
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