| REMEDA: Random embedding EDA for optimising functions with intrinsic dimension ML Sanyang, A Kabán Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016 | 14 | 2016 |
| Large scale continuous EDA using mutual information Q Xu, ML Sanyang, A Kabán 2016 IEEE Congress on Evolutionary Computation (CEC), 3718-3725, 2016 | 10 | 2016 |
| Multivariate cauchy eda optimisation ML Sanyang, A Kaban Intelligent Data Engineering and Automated Learning–IDEAL 2014: 15th …, 2014 | 10 | 2014 |
| Heavy tails with parameter adaptation in random projection based continuous EDA ML Sanyang, A Kabán 2015 IEEE Congress on Evolutionary Computation (CEC), 2074-2081, 2015 | 9 | 2015 |
| How effective is Cauchy-EDA in high dimensions? ML Sanyang, RJ Durrant, A Kabán 2016 IEEE Congress on Evolutionary Computation (CEC), 3409-3416, 2016 | 6 | 2016 |
| Large-scale estimation of distribution algorithms with adaptive heavy tailed random projection ensembles ML Sanyang, A Kabán Journal of Computer Science and Technology 34, 1241-1257, 2019 | 2 | 2019 |
| Two approaches of using heavy tails in high dimensional EDA ML Sanyang, H Muehlbrandt, A Kaban 2014 IEEE International Conference on Data Mining Workshop, 653-660, 2014 | 2 | 2014 |
| 基于自适应重尾随机映射集成的大规模分布估计算法 ML Sanyang, A Kabán 计算机科学技术学报 34 (6), 1241-1257, 2019 | | 2019 |
| Large scale estimation of distribution algorithms for continuous optimisation ML Sanyang University of Birmingham, 2017 | | 2017 |
| Technical Report CSR-15-01 ML Sanyang, A Kaban | | 2015 |
Ata KabanUniversity of Birmingham, School of Computer ScienceVerified email at bham.ac.uk
