| The 3rd anti-uav workshop & challenge: Methods and results J Zhao, J Li, L Jin, J Chu, Z Zhang, J Wang, J Xia, K Wang, Y Liu, ... arXiv preprint arXiv:2305.07290, 2023 | 41 | 2023 |
| Uncertainty estimation for deep learning-based automated analysis of 12-lead electrocardiograms JF Vranken, RR van de Leur, DK Gupta, LE Juarez Orozco, RJ Hassink, ... European Heart Journal-Digital Health 2 (3), 401-415, 2021 | 32 | 2021 |
| Explaining with counter visual attributes and examples S Gulshad, A Smeulders Proceedings of the 2020 international conference on multimedia retrieval, 35-43, 2020 | 16 | 2020 |
| Interpreting adversarial examples with attributes S Gulshad, JH Metzen, A Smeulders, Z Akata arXiv preprint arXiv:1904.08279, 2019 | 8 | 2019 |
| Learning to reproduce stochastic time series using stochastic LSTM S Gulshad, D Sigmund, JH Kim 2017 International Joint Conference on Neural Networks (IJCNN), 859-866, 2017 | 8 | 2017 |
| Impact of imperfection in medical imaging data on deep learning‐based segmentation performance: An experimental study using synthesized data AM Güneş, W van Rooij, S Gulshad, B Slotman, M Dahele, W Verbakel Medical physics 50 (10), 6421-6432, 2023 | 7 | 2023 |
| Hierarchical explanations for video action recognition S Gulshad, T Long, N van Noord Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Natural perturbed training for general robustness of neural network classifiers S Gulshad, A Smeulders arXiv preprint arXiv:2103.11372, 2021 | 5 | 2021 |
| Counterfactual attribute-based visual explanations for classification S Gulshad, A Smeulders International Journal of Multimedia Information Retrieval 10, 127-140, 2021 | 4 | 2021 |
| Adversarial and natural perturbations for general robustness S Gulshad, JH Metzen, A Smeulders arXiv preprint arXiv:2010.01401, 2020 | 3 | 2020 |
| Built-in Elastic Transformations for Improved Robustness S Gulshad, I Sosnovik, A Smeulders arXiv preprint arXiv:2107.09391, 2021 | 1 | 2021 |
| Deep convolutional and recurrent writer S Gulshad, JH Kim 2017 International Joint Conference on Neural Networks (IJCNN), 2836-2842, 2017 | 1 | 2017 |
| The SkatingVerse Workshop & Challenge: Methods and Results J Zhao, L Jin, J Li, Z Zhu, Y Teng, J Zhao, S Gulshad, Z Wang, B Zhao, ... arXiv preprint arXiv:2405.17188, 2024 | | 2024 |
| Method for operating a technical system and technical system J Zhao, S Gulshad, JH Metzen, S Arnold US Patent App. 18/340,264, 2024 | | 2024 |
| RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning R Tiwari, A Chavan, D Gupta, G Mago, A Gupta, A Gupta, S Sharan, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| Explainable robustness for visual classification S Gulshad University of Amsterdam, 2022 | | 2022 |
| Wiggling Weights to Improve the Robustness of Classifiers S Gulshad, I Sosnovik, A Smeulders arXiv preprint arXiv:2111.09779, 2021 | | 2021 |
| Understanding Misclassifications by Attributes S Gulshad, Z Akata, JH Metzen, A Smeulders arXiv preprint arXiv:1910.07416, 2019 | | 2019 |
| Ladder-deep convolutional recurrent writer for generating images S Gulshad 한국과학기술원, 2017 | | 2017 |
Arnold SmeuldersProfessor of Computer Science, University of AmsterdamПодтвержден адрес электронной почты в домене uva.nl
