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Bodesheim, Paul
69  Ergebnisse:
Personensuche X
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1

Beyond Debiasing: Actively Steering Feature Selection via L..:

, In: Lecture Notes in Computer Science; Pattern Recognition,
Blunk, Jan ; Penzel, Niklas ; Bodesheim, Paul. - p. 394-408 , 2024
Link: https://doi.org/10.1007/..
 
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2

Determining the community composition of herbaceous species..:

Körschens, Matthias ; Bucher, Solveig Franziska ; Bodesheim, Paul...
Ecological Informatics.  80 (2024)  - p. 102516 , 2024
Link: https://doi.org/10.1016/..
 
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3

Investigating Neural Network Training on a Feature Level Us..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022 Workshops,
Penzel, Niklas ; Reimers, Christian ; Bodesheim, Paul. - p. 383-399 , 2023
Link: https://doi.org/10.1007/..
 
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4

Emerging technologies revolutionise insect ecology and moni..:

van Klink, Roel ; August, Tom ; Bas, Yves...
Trends in Ecology & Evolution.  37 (2022)  10 - p. 872-885 , 2022
Link: https://doi.org/10.1016/..
 
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5

Pre-trained models are not enough: active and lifelong lear..:

Bodesheim, Paul ; Blunk, Jan ; Körschens, Matthias...
Mammalian Biology.  102 (2022)  3 - p. 875-897 , 2022
Link: https://doi.org/10.1007/..
 
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6

Predicting spatiotemporal variability in radial tree growth..:

Bodesheim, Paul ; Babst, Flurin ; Frank, David C....
Environmental Data Science.  1 (2022)  - p. , 2022
Link: https://doi.org/10.1017/..
 
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7

Occlusion-Robustness of Convolutional Neural Networks via I..:

, In: 2022 26th International Conference on Pattern Recognition (ICPR),
Korschens, Matthias ; Bodesheim, Paul ; Denzler, Joachim - p. 2829-2835 , 2022
Link: https://doi.org/10.1109/..
 
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8

Towards a multisensor station for automated biodiversity mo..:

Wägele, J.Wolfgang ; Bodesheim, Paul ; Bourlat, Sarah J....
Basic and Applied Ecology.  59 (2022)  - p. 105-138 , 2022
Link: https://doi.org/10.1016/..
 
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9

Automated Visual Large Scale Monitoring of Faunal Biodivers..:

Radig, Bernd ; Bodesheim, Paul ; Korsch, Dimitri...
Pattern Recognition and Image Analysis.  31 (2021)  3 - p. 477-488 , 2021
Link: https://doi.org/10.1134/..
 
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10

Conditional dependence tests reveal the usage of ABCD rule ..:

, In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
Reimers, Christian ; Penzel, Niklas ; Bodesheim, Paul.. - p. 1810-1819 , 2021
Link: https://doi.org/10.1109/..
 
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11

Weakly Supervised Segmentation Pretraining for Plant Cover ..:

, In: Lecture Notes in Computer Science; Pattern Recognition,
Körschens, Matthias ; Bodesheim, Paul ; Römermann, Christine... - p. 589-603 , 2021
Link: https://doi.org/10.1007/..
 
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12

End-to-End Learning of Fisher Vector Encodings for Part Fea..:

, In: Lecture Notes in Computer Science; Pattern Recognition,
Korsch, Dimitri ; Bodesheim, Paul ; Denzler, Joachim - p. 142-158 , 2021
Link: https://doi.org/10.1007/..
 
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13

Conditional Adversarial Debiasing: Towards Learning Unbiase..:

, In: Lecture Notes in Computer Science; Pattern Recognition,
Reimers, Christian ; Bodesheim, Paul ; Runge, Jakob. - p. 48-62 , 2021
Link: https://doi.org/10.1007/..
 
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14

Scaling carbon fluxes from eddy covariance sites to globe: ..:

Jung, Martin ; Schwalm, Christopher ; Migliavacca, Mirco...
Biogeosciences.  17 (2020)  5 - p. 1343-1365 , 2020
Link: https://doi.org/10.5194/..
 
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15

Towards Confirmable Automated Plant Cover Determination:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2020 Workshops,
Körschens, Matthias ; Bodesheim, Paul ; Römermann, Christine... - p. 312-329 , 2020
Link: https://doi.org/10.1007/..
 
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