| Minimum cost attribute reduction in decision-theoretic rough set models X Jia, W Liao, Z Tang, L Shang Information Sciences 219, 151-167, 2013 | 275 | 2013 |
| Generalized attribute reduct in rough set theory X Jia, L Shang, B Zhou, Y Yao Knowledge-Based Systems 91, 204-218, 2016 | 199 | 2016 |
| Binary particle swarm optimisation for feature selection: A filter based approach L Cervante, B Xue, M Zhang, L Shang 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 189 | 2012 |
| On an optimization representation of decision-theoretic rough set model X Jia, Z Tang, W Liao, L Shang International Journal of Approximate Reasoning 55 (1), 156-166, 2014 | 164 | 2014 |
| A multi-objective particle swarm optimisation for filter-based feature selection in classification problems B Xue, L Cervante, L Shang, WN Browne, M Zhang Connection Science 24 (2-3), 91-116, 2012 | 113 | 2012 |
| Particle swarm optimization-based feature selection in sentiment classification L Shang, Z Zhou, X Liu Soft Computing 20, 3821-3834, 2016 | 93 | 2016 |
| Multi-objective evolutionary algorithms for filter based feature selection in classification B Xue, L Cervante, L Shang, WN Browne, M Zhang International Journal on Artificial Intelligence Tools 22 (04), 1350024, 2013 | 81 | 2013 |
| A multiphase cost-sensitive learning method based on the multiclass three-way decision-theoretic rough set model X Jia, W Li, L Shang Information Sciences 485, 248-262, 2019 | 73 | 2019 |
| Three-way decisions solution to filter spam email: an empirical study X Jia, K Zheng, W Li, T Liu, L Shang Rough Sets and Current Trends in Computing: 8th International Conference …, 2012 | 73 | 2012 |
| Binary PSO and rough set theory for feature selection: A multi-objective filter based approach B Xue, L Cervante, L Shang, WN Browne, M Zhang International Journal of Computational Intelligence and Applications 13 (02 …, 2014 | 56 | 2014 |
| Similarity-based attribute reduction in rough set theory: a clustering perspective X Jia, Y Rao, L Shang, T Li International Journal of Machine Learning and Cybernetics 11, 1047-1060, 2020 | 55 | 2020 |
| An optimization viewpoint of decision-theoretic rough set model X Jia, W Li, L Shang, J Chen Rough Sets and Knowledge Technology: 6th International Conference, RSKT 2011 …, 2011 | 47 | 2011 |
| A multi-objective feature selection approach based on binary pso and rough set theory L Cervante, B Xue, L Shang, M Zhang Evolutionary Computation in Combinatorial Optimization: 13th European …, 2013 | 39 | 2013 |
| Improving generalisation of genetic programming for symbolic regression with structural risk minimisation Q Chen, B Xue, L Shang, M Zhang Proceedings of the Genetic and Evolutionary Computation Conference 2016, 709-716, 2016 | 34 | 2016 |
| A dimension reduction approach to classification based on particle swarm optimisation and rough set theory L Cervante, B Xue, L Shang, M Zhang AI 2012: Advances in Artificial Intelligence: 25th Australasian Joint …, 2012 | 33 | 2012 |
| Sentiment analysis on microblogging by integrating text and image features Y Zhang, L Shang, X Jia Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015 | 32 | 2015 |
| A fast wrapper feature subset selection method based on binary particle swarm optimization X Liu, L Shang 2013 IEEE congress on evolutionary computation, 3347-3353, 2013 | 31 | 2013 |
| Label distribution learning: a local collaborative mechanism S Xu, H Ju, L Shang, W Pedrycz, X Yang, C Li International Journal of Approximate Reasoning 121, 59-84, 2020 | 29 | 2020 |
| A particle swarm optimisation based multi-objective filter approach to feature selection for classification B Xue, L Cervante, L Shang, M Zhang PRICAI 2012: Trends in Artificial Intelligence: 12th Pacific Rim …, 2012 | 29 | 2012 |
| Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism W Pei, B Xue, L Shang, M Zhang Soft Computing 24, 18021-18038, 2020 | 26 | 2020 |
