| A benchmark and comparison of active learning for logistic regression Y Yang, M Loog Pattern Recognition 83, 401-415, 2018 | 156 | 2018 |
| Active learning using uncertainty information Y Yang, M Loog 2016 23rd International Conference on Pattern Recognition (ICPR), 2646-2651, 2016 | 75 | 2016 |
| A Variance Maximization Criterion for Active Learning Y Yang, M Loog Pattern Recognition 78 (C), 358-370, 2018 | 52 | 2018 |
| Gait recognition using flow histogram energy image Y Yang, D Tu, G Li 2014 22nd International Conference on Pattern Recognition, 444-449, 2014 | 37 | 2014 |
| Single Shot Active Learning using Pseudo Annotators Y Yazhou, L Marco Pattern Recognition 89 (C), 22-31, 2019 | 23 | 2019 |
| A unified deep sparse graph attention network for scene graph generation H Zhou, Y Yang, T Luo, J Zhang, S Li Pattern Recognition 123, 108367, 2022 | 15 | 2022 |
| An empirical investigation into the inconsistency of sequential active learning M Loog, Y Yang 2016 23rd international conference on pattern recognition (ICPR), 210-215, 2016 | 11 | 2016 |
| Image quality assessment using histograms of oriented gradients Y Yang, D Tu, G Cheng 2013 Fourth International Conference on Intelligent Control and Information …, 2013 | 11 | 2013 |
| Enhanced faster-RCNN algorithm for object detection in aerial images X Yin, Y Yang, H Xu, W Li, J Deng 2020 IEEE 9th joint international information technology and artificial …, 2020 | 9 | 2020 |
| Data-driven methods to predict the burst strength of corroded line pipelines subjected to internal pressure J Cai, X Jiang, Y Yang, G Lodewijks, M Wang Journal of Marine Science and Application 21 (2), 115-132, 2022 | 7 | 2022 |
| Batch mode active learning based on multi-set clustering Y Yang, X Yin, Y Zhao, J Lei, W Li, Z Shu IEEE Access 9, 51452-51463, 2021 | 7 | 2021 |
| Debiased scene graph generation for dual imbalance learning H Zhou, J Zhang, T Luo, Y Yang, J Lei IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4274-4288, 2022 | 5 | 2022 |
| A robust approach for congested vehicles tracking based on Tracking-Model-Detection framework D Tu, J Lei, Y Yang 2012 IEEE 11th International Conference on Signal Processing 2, 820-824, 2012 | 5 | 2012 |
| To actively initialize active learning Y Yang, M Loog Pattern Recognition 131, 108836, 2022 | 4 | 2022 |
| An image quality metric based on the Harris corner Y Yang, G Cheng, D Tu 2012 IEEE 11th International Conference on Signal Processing 2, 873-876, 2012 | 4 | 2012 |
| Towards practical active learning for classification Y Yang | 3 | 2018 |
| Image quality assessment based on local invariant features YZ Yang, GQCTU Dan Journal of computer applications 32 (12), 3369, 2012 | 1 | 2012 |
