| 1240P Multi-centric validation of an AI-based sTIL% scoring model for breast cancer H&E whole-slide images Y Schirris, RAB Voorthuis, M Opdam, E Gavves, R de Menezes, S Linn, ... Annals of Oncology 34, S724, 2023 | | 2023 |
| 35TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING, ICML 2018 LM Nguyen, K Scheinberg, M Takáč, PH Nguyen, M Van Dijk, P Richtárik, ... | | 2018 |
| 3d equivariant graph implicit functions Y Chen, B Fernando, H Bilen, M Nießner, E Gavves European Conference on Computer Vision, 485-502, 2022 | 18 | 2022 |
| 3D neighborhood convolution: Learning depth-aware features for RGB-D and RGB semantic segmentation Y Chen, T Mensink, E Gavves 2019 International Conference on 3D Vision (3DV), 173-182, 2019 | 31 | 2019 |
| Abstract PD11-03: Deep learning applied on resection specimen tissue slides of ‘pure’ductal carcinoma in situ predicts ipsilateral invasive breast cancer recurrence S Doyle, FD Canton, T Koostra, M van Seijen, E Groen, E Gavves, ... Cancer Research 82 (4_Supplement), PD11-03-PD11-03, 2022 | | 2022 |
| Action localization in sequential data with attention proposals from a recurrent network J Mihir, LI Zhenyang, E Gavves, CGM Snoek US Patent App. 15/250,755, 2017 | 41 | 2017 |
| Action recognition with dynamic image networks H Bilen, B Fernando, E Gavves, A Vedaldi IEEE transactions on pattern analysis and machine intelligence 40 (12), 2799 …, 2017 | 273 | 2017 |
| Active transfer learning with zero-shot priors: Reusing past datasets for future tasks E Gavves, T Mensink, T Tommasi, CGM Snoek, T Tuytelaars Proceedings of the IEEE International Conference on Computer Vision, 2731-2739, 2015 | 86 | 2015 |
| Adapting to appearance variations when tracking a target object in video sequence R Tao, E Gavves, AWM Smeulders US Patent 10,691,952, 2020 | | 2020 |
| Adapting to appearance variations when tracking a target object in video sequence R Tao, E Gavves, AWM Smeulders US Patent 10,019,631, 2018 | 37 | 2018 |
| Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps E Egorov, R Valperga, E Gavves arXiv preprint arXiv:2406.02490, 2024 | | 2024 |
| Amortized Equation Discovery in Hybrid Dynamical Systems Y Liu, S Magliacane, M Kofinas, E Gavves arXiv preprint arXiv:2406.03818, 2024 | | 2024 |
| Attributes make sense on segmented objects Z Li, E Gavves, T Mensink, CGM Snoek Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 46 | 2014 |
| Automated final lesion segmentation in posterior circulation acute ischemic stroke using deep learning R Zoetmulder, PR Konduri, IV Obdeijn, E Gavves, I Išgum, CBLM Majoie, ... Diagnostics 11 (9), 1621, 2021 | 4 | 2021 |
| Automatic comment generation using a neural translation model T Haije, BOK Intelligentie, E Gavves, H Heuer Inf. Softw. Technol 55 (3), 258-268, 2016 | 28 | 2016 |
| Automatic triage of 12‐lead ECGs using deep convolutional neural networks RR van de Leur, LJ Blom, E Gavves, IE Hof, JF van der Heijden, ... Journal of the American Heart Association 9 (10), e015138, 2020 | 52 | 2020 |
| Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels R Bondesan, E Gavves, C Oh, M Welling 10San Diego, CANeural Information Processing Systems Foundation, 2023 | | 2023 |
| Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel C Oh, R Bondesan, E Gavves, M Welling arXiv preprint arXiv:2102.13382, 2021 | 6 | 2021 |
| Biscuit: Causal representation learning from binary interactions P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, E Gavves Uncertainty in Artificial Intelligence, 1263-1273, 2023 | 19 | 2023 |
| BOCK: Bayesian Optimization with Cylindrical Kernels CY Oh, E Gavves, M Welling International Conference on Machine Learning, 2018 | 149 | 2018 |
Cees G. M. SnoekProfessor of Computer Science, University of AmsterdamVerified email at uva.nl
