A Survey on Evolutionary Computation Approaches to Feature Selection B Xue, M Zhang, W Browne, X Yao Evolutionary Computation, IEEE Transactions on 20 (4), 606 - 626, 2016 | 1686 | 2016 |
Particle swarm optimization for feature selection in classification: A multi-objective approach B Xue, M Zhang, WN Browne IEEE transactions on cybernetics 43 (6), 1656-1671, 2013 | 1282 | 2013 |
Automatically designing CNN architectures using the genetic algorithm for image classification Y Sun, B Xue, M Zhang, GG Yen, J Lv IEEE transactions on cybernetics 50 (9), 3840-3854, 2020 | 776 | 2020 |
Evolving deep convolutional neural networks for image classification Y Sun, B Xue, M Zhang, GG Yen IEEE Transactions on Evolutionary Computation 24 (2), 394-407, 2020 | 673 | 2020 |
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms B Xue, M Zhang, WN Browne Applied soft computing 18, 261-276, 2014 | 627 | 2014 |
A survey on evolutionary neural architecture search Y Liu, Y Sun, B Xue, M Zhang, GG Yen, KC Tan IEEE transactions on neural networks and learning systems 34 (2), 550-570, 2021 | 455 | 2021 |
Differential evolution for filter feature selection based on information theory and feature ranking E Hancer, B Xue, M Zhang Knowledge-Based Systems 140, 103-119, 2018 | 360 | 2018 |
A survey on swarm intelligence approaches to feature selection in data mining BH Nguyen, B Xue, M Zhang Swarm and Evolutionary Computation 54, 100663, 2020 | 331 | 2020 |
Pareto front feature selection based on artificial bee colony optimization E Hancer, B Xue, M Zhang, D Karaboga, B Akay Information Sciences 422, 462-479, 2018 | 329 | 2018 |
Self-adaptive particle swarm optimization for large-scale feature selection in classification Y Xue, B Xue, M Zhang ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (5), 1-27, 2019 | 312 | 2019 |
Completely automated CNN architecture design based on blocks Y Sun, B Xue, M Zhang, GG Yen IEEE transactions on neural networks and learning systems 31 (4), 1242-1254, 2020 | 289 | 2020 |
Surrogate-assisted evolutionary deep learning using an end-to-end random forest-based performance predictor Y Sun, H Wang, B Xue, Y Jin, GG Yen, M Zhang IEEE Transactions on Evolutionary Computation 24 (2), 350-364, 2019 | 244 | 2019 |
Variable-length particle swarm optimization for feature selection on high-dimensional classification B Tran, B Xue, M Zhang IEEE Transactions on Evolutionary Computation 23 (3), 473-487, 2018 | 240 | 2018 |
Evolving deep convolutional neural networks by variable-length particle swarm optimization for image classification B Wang, Y Sun, B Xue, M Zhang 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 235 | 2018 |
A survey on evolutionary machine learning H Al-Sahaf, Y Bi, Q Chen, A Lensen, Y Mei, Y Sun, B Tran, B Xue, ... Journal of the Royal Society of New Zealand 49 (2), 205-228, 2019 | 221 | 2019 |
Genetic programming for feature construction and selection in classification on high-dimensional data B Tran, B Xue, M Zhang Memetic Computing 8, 3-15, 2016 | 193 | 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 | 187 | 2012 |
A new representation in PSO for discretization-based feature selection B Tran, B Xue, M Zhang IEEE Transactions on Cybernetics 48 (6), 1733-1746, 2017 | 180 | 2017 |
A binary ABC algorithm based on advanced similarity scheme for feature selection E Hancer, B Xue, D Karaboga, M Zhang Applied Soft Computing 36, 334-348, 2015 | 175 | 2015 |
A particle swarm optimization-based flexible convolutional autoencoder for image classification Y Sun, B Xue, M Zhang, GG Yen IEEE transactions on neural networks and learning systems 30 (8), 2295-2309, 2018 | 165 | 2018 |