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William H Beluch
William H Beluch
Bosch Center for Artificial Intelligence
Verified email at de.bosch.com - Homepage
Title
Cited by
Cited by
Year
The power of ensembles for active learning in image classification
WH Beluch, T Genewein, A Nürnberger, JM Köhler
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4222018
An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice
JPL Castro, MN Yancoskie, M Marchini, S Belohlavy, L Hiramatsu, ...
elife 8, e42014, 2019
452019
Uncertainty Based Detection and Relabeling of Noisy Image Labels.
JM Köhler, M Autenrieth, WH Beluch
CVPR Workshops, 33-37, 2019
212019
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
K Patel, W Beluch, B Yang, M Pfeiffer, D Zhang
International Conference on Learning Representations, ICLR 2021, 2020
162020
On-manifold adversarial data augmentation improves uncertainty calibration
K Patel, W Beluch, D Zhang, M Pfeiffer, B Yang
International Conference on Pattern Recognition, ICPR 2020, 2019
92019
Diagvib-6: A diagnostic benchmark suite for vision models in the presence of shortcut and generalization opportunities
E Eulig, P Saranrittichai, CK Mummadi, K Rambach, W Beluch, X Shi, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
52021
Adherence to oral tyrosine kinase inhibitor therapy: results of a self-reported patient survey
SL Goldberg, MS Aioub, WH Beluch, LS Kaplan, T Singh, J Shah, ...
Blood 118 (21), 4432, 2011
32011
Investigation of uncertainty of deep learning-based object classification on radar spectra
K Patel, W Beluch, K Rambach, AE Cozma, M Pfeiffer, B Yang
2021 IEEE Radar Conference (RadarConf21), 1-6, 2021
22021
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing
K Patel, W Beluch, K Rambach, M Pfeiffer, B Yang
2022 IEEE Radar Conference (RadarConf22), 1-6, 2022
12022
Independent evolution toward larger body size in the distinctive Faroe Island mice
R Wilches, WH Beluch, E McConnell, D Tautz, YF Chan
G3 11 (1), jkaa051, 2021
12021
Image analysis model comprising a discrete coupling layer
A Lindt, E Hoogeboom, WH Beluch
US Patent App. 17/650,779, 2022
2022
Image analysis model comprising an integer coupling layer
A Lindt, E Hoogeboom, WH Beluch
US Patent App. 17/650,786, 2022
2022
Operation of trainable modules, including monitoring as to whether the range of application of the training is abandoned
JM Koehler, M Autenrieth, WH Beluch
US Patent App. 17/611,088, 2022
2022
Training trainable modules using learning data, the labels of which are subject to noise
JM Koehler, M Autenrieth, WH Beluch
US Patent App. 17/420,357, 2022
2022
Estimating reliability of control data
S Passenheim, E Hoogeboom, WH Beluch
US Patent App. 17/445,902, 2022
2022
Image generation model based on log-likelihood
E Hoogeboom, D Nielsen, M Welling, P Forre, P Jaini, WH Beluch
US Patent App. 17/445,891, 2022
2022
Classification model calibration
D Zhang, K Patel, WH Beluch
US Patent App. 17/240,108, 2021
2021
Processing of learning data sets including noisy labels for classifiers
WH Beluch, JM Koehler, M Autenrieth
US Patent App. 17/233,410, 2021
2021
Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice
JP Castro, MN Yancoskie, M Marchini, S Belohlavy, L Hiramatsu, M Kučka, ...
2019
An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice
L Hiramatsu, M Kucka, WH Beluch, R Naumann, I Skuplik, J Cobb, ...
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