Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach M Jung, C Schwalm, M Migliavacca, S Walther, G Camps-Valls, S Koirala, ... Biogeosciences 17 (5), 1343-1365, 2020 | 489 | 2020 |
When tree rings go global: Challenges and opportunities for retro-and prospective insight F Babst, P Bodesheim, N Charney, AD Friend, MP Girardin, S Klesse, ... Quaternary Science Reviews 197, 1-20, 2018 | 188 | 2018 |
Emerging technologies revolutionise insect ecology and monitoring R Van Klink, T August, Y Bas, P Bodesheim, A Bonn, F Fossøy, TT Høye, ... Trends in ecology & evolution 37 (10), 872-885, 2022 | 166 | 2022 |
Kernel Null Space Methods for Novelty Detection P Bodesheim, A Freytag, E Rodner, M Kemmler, J Denzler CVPR 2013, 3374--3381, 2013 | 166 | 2013 |
Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product P Bodesheim, M Jung, F Gans, MD Mahecha, M Reichstein Earth System Science Data 10 (3), 1327-1365, 2018 | 129 | 2018 |
Improved tree-ring archives will support earth-system science F Babst, B Poulter, P Bodesheim, MD Mahecha, DC Frank Nature Ecology & Evolution 1 (2), 0008, 2017 | 98 | 2017 |
Earth system data cubes unravel global multivariate dynamics MD Mahecha, F Gans, G Brandt, R Christiansen, SE Cornell, N Fomferra, ... Earth System Dynamics 11 (1), 201-234, 2020 | 93 | 2020 |
Towards a multisensor station for automated biodiversity monitoring JW Wägele, P Bodesheim, SJ Bourlat, J Denzler, M Diepenbroek, ... Basic and Applied Ecology 59, 105-138, 2022 | 86 | 2022 |
Local Novelty Detection in Multi-class Recognition Problems P Bodesheim, A Freytag, E Rodner, J Denzler WACV 2015, 2015 | 73 | 2015 |
Active learning and discovery of object categories in the presence of unnameable instances C Kading, A Freytag, E Rodner, P Bodesheim, J Denzler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 71 | 2015 |
Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques M Flach, F Gans, A Brenning, J Denzler, M Reichstein, E Rodner, ... Earth System Dynamics 8 (3), 677-696, 2017 | 53 | 2017 |
Classification-specific parts for improving fine-grained visual categorization D Korsch, P Bodesheim, J Denzler Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund …, 2019 | 49 | 2019 |
Labeling examples that matter: Relevance-based active learning with gaussian processes A Freytag, E Rodner, P Bodesheim, J Denzler Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany …, 2013 | 35 | 2013 |
Large-scale gaussian process classification with flexible adaptive histogram kernels E Rodner, A Freytag, P Bodesheim, J Denzler Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 31 | 2012 |
Diagnosing the dynamics of observed and simulated ecosystem gross primary productivity with time causal information theory quantifiers S Sippel, H Lange, MD Mahecha, M Hauhs, P Bodesheim, T Kaminski, ... PloS one 11 (10), e0164960, 2016 | 26 | 2016 |
Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product, Earth Syst. Sci. Data, 10, 1327–1365 P Bodesheim, M Jung, F Gans, MD Mahecha, M Reichstein | 22 | 2018 |
Rapid uncertainty computation with gaussian processes and histogram intersection kernels A Freytag, E Rodner, P Bodesheim, J Denzler Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 22 | 2013 |
Deep learning pipeline for automated visual moth monitoring: Insect localization and species classification D Korsch, P Bodesheim, J Denzler arXiv preprint arXiv:2307.15427, 2023 | 19 | 2023 |
Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—individual identification and … P Bodesheim, J Blunk, M Körschens, CA Brust, C Käding, J Denzler Mammalian Biology 102 (3), 875-897, 2022 | 18 | 2022 |
Conditional dependence tests reveal the usage of ABCD rule features and bias variables in automatic skin lesion classification C Reimers, N Penzel, P Bodesheim, J Runge, J Denzler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 17 | 2021 |