| Comprehensive learning particle swarm optimizer for global optimization of multimodal functions JJ Liang, AK Qin, PN Suganthan, S Baskar Evolutionary Computation, IEEE Transactions on 10 (3), 281-295, 2006 | 3625 | 2006 |
| Differential evolution algorithm with strategy adaptation for global numerical optimization AK Qin, VL Huang, PN Suganthan Evolutionary Computation, IEEE Transactions on 13 (2), 398-417, 2009 | 3431 | 2009 |
| Self-adaptive differential evolution algorithm for numerical optimization AK Qin, PN Suganthan Evolutionary Computation, 2005. The 2005 IEEE Congress on 2, 1785-1791 Vol. 2, 2005 | 1365 | 2005 |
| Evolutionary extreme learning machine QY Zhu, AK Qin, PN Suganthan, GB Huang Pattern recognition 38 (10), 1759-1763, 2005 | 816 | 2005 |
| Multiobjective deep belief networks ensemble for remaining useful life estimation in prognostics C Zhang, P Lim, AK Qin, KC Tan IEEE transactions on neural networks and learning systems 28 (10), 2306-2318, 2017 | 488 | 2017 |
| Self-adaptive differential evolution algorithm for constrained real-parameter optimization VL Huang, AK Qin, PN Suganthan Evolutionary Computation, 2006. CEC 2006. IEEE Congress on, 17-24, 2006 | 461* | 2006 |
| Benchmark functions for the CEC 2013 special session and competition on large-scale global optimization X Li, K Tang, MN Omidvar, Z Yang, K Qin, H China Gene 7, 33, 2013 | 362 | 2013 |
| A deep convolutional coupling network for change detection based on heterogeneous optical and radar images J Liu, M Gong, K Qin, P Zhang IEEE transactions on neural networks and learning systems 29 (3), 545-559, 2016 | 258 | 2016 |
| Unsupervised Polarimetric SAR Image Segmentation and Classification Using Region Growing With Edge Penalty P Yu, AK Qin, DA Clausi Geoscience and Remote Sensing, IEEE Transactions on 50 (4), 1302-1317, 2012 | 217 | 2012 |
| A review of population initialization techniques for evolutionary algorithms B Kazimipour, X Li, AK Qin Evolutionary Computation (CEC), 2014 IEEE Congress on, 2585-2592, 2014 | 161 | 2014 |
| Evolutionary multitasking via explicit autoencoding L Feng, L Zhou, J Zhong, A Gupta, YS Ong, KC Tan, AK Qin IEEE transactions on cybernetics 49 (9), 3457-3470, 2018 | 146 | 2018 |
| Robust growing neural gas algorithm with application in cluster analysis AK Qin, PN Suganthan Neural Networks 17 (8-9), 1135-1148, 2004 | 142 | 2004 |
| Problem definitions for performance assessment of multi-objective optimization algorithms VL Huang, AK Qin, K Deb, E Zitzler, PN Suganthan, JJ Liang, M Preuss, ... Nanyang Technological University, Singapore, Tech. Rep, 2007 | 130* | 2007 |
| Multivariate image segmentation using semantic region growing with adaptive edge penalty AK Qin, DA Clausi Image Processing, IEEE Transactions on 19 (8), 2157-2170, 2010 | 124 | 2010 |
| Linear dimensionality reduction using relevance weighted LDA EK Tang, PN Suganthan, X Yao, AK Qin Pattern recognition 38 (4), 485-493, 2005 | 123 | 2005 |
| Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results B Da, YS Ong, L Feng, AK Qin, A Gupta, Z Zhu, CK Ting, K Tang, X Yao arXiv preprint arXiv:1706.03470, 2017 | 121 | 2017 |
| Private Spatial Data Aggregation in the Local Setting R Chen, H Li, AK Qin, SP Kasiviswanathan, H Jin | 117* | |
| Multi-objective optimization based on self-adaptive differential evolution algorithm VL Huang, AK Qin, PN Suganthan, MF Tasgetiren Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, 3601-3608, 2007 | 95 | 2007 |
| Two-hidden-layer extreme learning machine for regression and classification BY Qu, BF Lang, JJ Liang, AK Qin, OD Crisalle Neurocomputing 175, 826-834, 2016 | 88 | 2016 |
| Kernel neural gas algorithms with application to cluster analysis AK Qin, PN Suganthan Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International …, 2004 | 86 | 2004 |
Florence ForbesDirector of Research, INRIA, Grenoble Rhone-AlpesGeverifieerd e-mailadres voor inria.fr
