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Bastiaan S. Veeling
Bastiaan S. Veeling
Dirección de correo verificada de uva.nl - Página principal
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Citado por
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Año
Rotation equivariant CNNs for digital pathology
BS Veeling, J Linmans, J Winkens, T Cohen, M Welling
International Conference on Medical image computing and computer-assisted …, 2018
2552018
How good is the bayes posterior in deep neural networks really?
F Wenzel, K Roth, BS Veeling, J Świątkowski, L Tran, S Mandt, J Snoek, ...
arXiv preprint arXiv:2002.02405, 2020
186*2020
Putting an end to end-to-end: Gradient-isolated learning of representations
S Löwe, P O'Connor, B Veeling
Advances in neural information processing systems 32, 2019
752019
Supervised uncertainty quantification for segmentation with multiple annotations
S Hu, D Worrall, S Knegt, B Veeling, H Huisman, M Welling
International Conference on Medical Image Computing and Computer-Assisted …, 2019
492019
Learning sub-sampling and signal recovery with applications in ultrasound imaging
IAM Huijben, BS Veeling, K Janse, M Mischi, RJG van Sloun
IEEE Transactions on Medical Imaging 39 (12), 3955-3966, 2020
382020
Probabilistic multileave for online retrieval evaluation
A Schuth, RJ Bruintjes, F Buüttner, J van Doorn, C Groenland, ...
Proceedings of the 38th international ACM SIGIR Conference on Research and …, 2015
342015
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning
S Trajanovski, D Mavroeidis, CL Swisher, BG Gebre, BS Veeling, ...
Computerized Medical Imaging and Graphics 90, 101883, 2021
322021
Hydra: Preserving ensemble diversity for model distillation
L Tran, BS Veeling, K Roth, J Swiatkowski, JV Dillon, J Snoek, S Mandt, ...
arXiv preprint arXiv:2001.04694, 2020
252020
The k-tied normal distribution: A compact parameterization of Gaussian mean field posteriors in Bayesian neural networks
J Swiatkowski, K Roth, B Veeling, L Tran, J Dillon, J Snoek, S Mandt, ...
International Conference on Machine Learning, 9289-9299, 2020
232020
Deep probabilistic subsampling for task-adaptive compressed sensing
IAM Huijben, BS Veeling, RJG van Sloun
International Conference on Learning Representations, 2019
222019
Learning sampling and model-based signal recovery for compressed sensing MRI
IAM Huijben, BS Veeling, RJG van Sloun
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
172020
Sample efficient semantic segmentation using rotation equivariant convolutional networks
J Linmans, J Winkens, BS Veeling, TS Cohen, M Welling
arXiv preprint arXiv:1807.00583, 2018
152018
Improved semantic segmentation for histopathology using rotation equivariant convolutional networks
J Winkens, J Linmans, BS Veeling, TS Cohen, M Welling
112018
Improving visitor traffic forecasting in brick-and-mortar retail stores with neural networks
B Veeling
Bachelor thesis, Universiteit Twente, 2014
82014
Active deep probabilistic subsampling
H Van Gorp, I Huijben, BS Veeling, N Pezzotti, RJG Van Sloun
International Conference on Machine Learning, 10509-10518, 2021
52021
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities
L Gonzalez-Carabarin, IAM Huijben, B Veeling, A Schmid, RJG van Sloun
IEEE Transactions on Neural Networks and Learning Systems, 2022
32022
Data-efficient convolutional neural networks for treatment decision support in acute ischemic stroke
A Hilbert, B Veeling, H Marquering
32018
Greedy infomax for self-supervised representation learning
S Löwe, P O’Connor, BS Veeling
Master Thesis, MSc Artificial Intelligence, University of Amsterdam. Source, 2019
22019
The patchcamelyon (pcam) deep learning classification benchmark
B Veeling
22019
Predictive uncertainty through quantization
BS Veeling, R Berg, M Welling
arXiv preprint arXiv:1810.05500, 2018
22018
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Artículos 1–20