| A review of generalized zero-shot learning methods F Pourpanah, M Abdar, Y Luo, X Zhou, R Wang, CP Lim, XZ Wang, ... IEEE transactions on pattern analysis and machine intelligence 45 (4), 4051-4070, 2022 | 443 | 2022 |
| A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications X Zhou, H Liu, F Pourpanah, T Zeng, X Wang Neurocomputing 489, 449-465, 2022 | 73 | 2022 |
| Predicting fundraising performance in medical crowdfunding campaigns using machine learning N Peng, X Zhou, B Niu, Y Feng Electronics 10 (2), 143, 2021 | 25 | 2021 |
| Model tree pruning X Zhou, D Yan International Journal of Machine Learning and Cybernetics 10, 3431-3444, 2019 | 18 | 2019 |
| An analysis on the relationship between uncertainty and misclassification rate of classifiers X Zhou, X Wang, C Hu, R Wang Information Sciences 535, 16-27, 2020 | 13 | 2020 |
| An off-center technique: Learning a feature transformation to improve the performance of clustering and classification D Yan, X Zhou, X Wang, R Wang Information Sciences 503, 635-651, 2019 | 8 | 2019 |
| Uncertainty guided pruning of classification model tree X Zhou, S Chen, N Peng, X Zhou, X Wang Knowledge-Based Systems 259, 110067, 2023 | 5 | 2023 |
| Feature similarity learning based on fuzziness minimization for semi-supervised medical image segmentation T Zhang, X Zhou, DD Wang, X Wang Information Fusion 106, 102253, 2024 | 3 | 2024 |
