| Towards efficient data valuation based on the shapley value R Jia, D Dao, B Wang, FA Hubis, N Hynes, NM Gurel, B Li, C Zhang, ... International Conference on Artificial Intelligence and Statistics, 0 | 232* | |
| Efficient task-specific data valuation for nearest neighbor algorithms R Jia, D Dao, B Wang, FA Hubis, NM Gurel, B Li, C Zhang, CJ Spanos, ... International Conference on Very Large Data Bases, 0 | 107* | |
| A data quality-driven view of mlops C Renggli, L Rimanic, NM Gürel, B Karlaš, W Wu, C Zhang IEEE Data Engineering Bulletin, 2021 | 35 | 2021 |
| Nearest neighbor classifiers over incomplete information: From certain answers to certain predictions B Karlaš, P Li, R Wu, NM Gürel, X Chu, W Wu, C Zhang International Conference on Very Large Data Bases, 2020 | 26 | 2020 |
| An anatomy of graph neural networks going deep via the lens of mutual information: Exponential decay vs. full preservation NM Gürel, H Ren, Y Wang, H Xue, Y Yang, C Zhang AAAI Conference on Artificial Intelligence, Deep Learning on Graphs, 2019 | 24* | 2019 |
| Ease. ml: a lifecycle management system for machine learning L Aguilar Melgar, D Dao, S Gan, NM Gürel, N Hollenstein, J Jiang, ... Proceedings of the Annual Conference on Innovative Data Systems Research …, 2021 | 16* | 2021 |
| Fives: Feature interaction via edge search for large-scale tabular data Y Xie, Z Wang, Y Li, B Ding, NM Gürel, C Zhang, M Huang, W Lin, J Zhou Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 15* | 2021 |
| Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks NM Gürel, X Qi, L Rimanic, C Zhang, B Li International Conference on Machine Learning, 2021 | 14 | 2021 |
| DeGNN: Improving Graph Neural Networks with Graph Decomposition X Miao*, NM Gürel*, W Zhang, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 14 | 2021 |
| Compressive Sensing Using Iterative Hard Thresholding with Low Precision Data Representation: Theory and Applications NM Gürel, K Kara, A Stojanov, T Smith, T Lemmin, D Alistarh, M Püschel, ... IEEE Transactions on Signal Processing, 2020 | 12* | 2020 |
| Online Active Model Selection for Pre-trained Classifiers MR Karimi*, NM Gürel*, B Karlaš, J Rausch, C Zhang, ... International Conference on Artificial Intelligence and Statistics, 2021 | 10 | 2021 |
| Denoising radio interferometric images by subspace clustering NM Gürel, P Hurley, M Simeoni Image Processing (ICIP), 2017 IEEE International Conference on, 2134-2138, 2017 | 3 | 2017 |
| On denoising crosstalk in radio interferometry NM Gürel, P Hurley, MMJA Simeoni International BASP Frontiers workshop 2017, 2017 | 3 | 2017 |
| Method and System to Reduce Noise in Phased-array Signals from Receivers Located at Different Locations NM Gurel, P Hurley, MMJA Simeoni | 3 | 2017 |
| Reducing noise in phased-array signals from receivers located at different locations NM Gürel, PT Hurley, MMJA Simeoni US Patent 10,396,456, 2019 | 1 | 2019 |
| Determining positions of transducers for receiving and/or transmitting wave signals NM Gürel, PT Hurley, MMJ Simeoni US Patent 10,386,452, 2019 | 1 | 2019 |
| Towards More Accurate Radio Telescope Images NM Gürel, P Hurley, M Simeoni The IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR), 2018 | 1 | 2018 |
| Advancing Cost Efficiency and Robustness of Machine Learning through the Lens of Data NM Gürel ETH Zurich, 2022 | | 2022 |
| Reducing noise in phased-array signals from receivers located at different locations NM Gürel, PT Hurley, MMJA Simeoni US Patent 11,145,974, 2021 | | 2021 |
| Towards efficient data valuation based on the shapley value. CoRR R Jia, D Dao, B Wang, FA Hubis, N Hynes, NM Gurel, B Li, C Zhang, ... International Conference on Artificial Intelligence and Statistics, 2019 | | 2019 |
Ce ZhangETH ZurichVerified email at inf.ethz.ch
