| Cost-sensitive feature selection using random forest: Selecting low-cost subsets of informative features Q Zhou, H Zhou, T Li Knowledge-based systems 95, 1-11, 2016 | 171 | 2016 |
| Structure damage detection based on random forest recursive feature elimination Q Zhou, H Zhou, Q Zhou, F Yang, L Luo Mechanical Systems and Signal Processing 46 (1), 82-90, 2014 | 90 | 2014 |
| Structural damage detection based on posteriori probability support vector machine and Dempster–Shafer evidence theory Q Zhou, H Zhou, Q Zhou, F Yang, L Luo, T Li Applied soft computing 36, 368-374, 2015 | 70 | 2015 |
| Structural damage detection method based on random forests and data fusion Q Zhou, Y Ning, Q Zhou, L Luo, J Lei Structural Health Monitoring 12 (1), 48-58, 2013 | 61 | 2013 |
| Cluster ensemble selection with constraints F Yang, T Li, Q Zhou, H Xiao Neurocomputing 235, 59-70, 2017 | 48 | 2017 |
| Improving the computational efficiency of recursive cluster elimination for gene selection LK Luo, DF Huang, LJ Ye, QF Zhou, GF Shao, H Peng IEEE/ACM transactions on computational biology and bioinformatics 8 (1), 122-129, 2010 | 41 | 2010 |
| Fog-based two-phase event monitoring and data gathering in vehicular sensor networks Y Lai, F Yang, J Su, Q Zhou, T Wang, L Zhang, Y Xu Sensors 18 (1), 82, 2017 | 39 | 2017 |
| Gene Selection Using Random Forest and Proximity Differences Criterion on DNA Microarray Data. Q Zhou, W Hong, L Luo, F Yang J. Convergence Inf. Technol. 5 (6), 161-170, 2010 | 38 | 2010 |
| An Adaptive Robust Semi-Supervised Clustering Framework Using Weighted Consensus of Random -Means Ensemble Y Lai, S He, Z Lin, F Yang, Q Zhou, X Zhou IEEE Transactions on Knowledge and data engineering 33 (5), 1877-1890, 2019 | 34 | 2019 |
| Using the maximum between-class variance for automatic gridding of cDNA microarray images GF Shao, F Yang, Q Zhang, QF Zhou, LK Luo IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 (1 …, 2012 | 34 | 2012 |
| Two approaches for novelty detection using random forest QF Zhou, H Zhou, YP Ning, F Yang, T Li Expert Systems with Applications 42 (10), 4840-4850, 2015 | 32 | 2015 |
| An effective classification-based framework for predicting cloud capacity demand in cloud services B Xia, T Li, Q Zhou, Q Li, H Zhang IEEE Transactions on Services Computing 14 (4), 944-956, 2018 | 29 | 2018 |
| Interpretable duplicate question detection models based on attention mechanism Q Zhou, X Liu, Q Wang Information Sciences 543, 259-272, 2021 | 25 | 2021 |
| Vrer: context-based venue recommendation using embedded space ranking SVM in location-based social network B Xia, Z Ni, T Li, Q Li, Q Zhou Expert Systems with Applications 83, 18-29, 2017 | 25 | 2017 |
| An advanced inventory data mining system for business intelligence Q Zhou, B Xia, W Xue, C Zeng, R Han, T Li 2017 IEEE Third International Conference on Big Data Computing Service and …, 2017 | 16 | 2017 |
| A new SVM-RFE approach towards ranking problem Q Zhou, W Hong, G Shao, W Cai 2009 IEEE International Conference on Intelligent Computing and Intelligent …, 2009 | 16 | 2009 |
| DI-DAP: an efficient disaster information delivery and analysis platform in disaster management T Li, W Zhou, C Zeng, Q Wang, Q Zhou, D Wang, J Xu, Y Huang, W Wang, ... Proceedings of the 25th ACM international on conference on information and …, 2016 | 14 | 2016 |
| Data-driven solutions for power system fault analysis and novelty detection R Han, Q Zhou 2016 11th International Conference on Computer Science & Education (ICCSE …, 2016 | 14 | 2016 |
| Stable feature selection with ensembles of multi-relieff Q Zhou, J Ding, Y Ning, L Luo, T Li 2014 10th International Conference on Natural Computation (ICNC), 742-747, 2014 | 13 | 2014 |
| Integrated application of uniform design and least-squares support vector machines to transfection optimization JS Pan, MZ Hong, QF Zhou, JY Cai, HZ Wang, LK Luo, DQ Yang, J Dong, ... BMC biotechnology 9, 1-13, 2009 | 13 | 2009 |
