Qi Chen
Title
Cited by
Cited by
Year
Feature selection to improve generalization of genetic programming for high-dimensional symbolic regression
Q Chen, M Zhang, B Xue
IEEE Transactions on Evolutionary Computation 21 (5), 792-806, 2017
482017
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
222016
Generalisation and domain adaptation in GP with gradient descent for symbolic regression
Q Chen, B Xue, M Zhang
2015 IEEE congress on evolutionary computation (CEC), 1137-1144, 2015
222015
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
212019
Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators
Q Chen, B Xue, M Zhang
IEEE Transactions on Evolutionary Computation 23 (3), 488-502, 2018
142018
Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression
Q Chen, M Zhang, B Xue
IEEE Transactions on Evolutionary Computation 23 (4), 703-717, 2018
112018
Genetic programming with embedded feature construction for high-dimensional symbolic regression
Q Chen, M Zhang, B Xue
Intelligent and Evolutionary Systems, 87-102, 2017
102017
Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection
Q Chen, B Xue, B Niu, M Zhang
2016 IEEE Congress on Evolutionary Computation (CEC), 3793-3800, 2016
102016
A hybrid GP-KNN imputation for symbolic regression with missing values
B Al-Helali, Q Chen, B Xue, M Zhang
Australasian Joint Conference on Artificial Intelligence, 345-357, 2018
92018
Geometric semantic crossover with an angle-aware mating scheme in genetic programming for symbolic regression
Q Chen, B Xue, Y Mei, M Zhang
European Conference on Genetic Programming, 229-245, 2017
92017
Genetic programming with Rademacher complexity for symbolic regression
C Raymond, Q Chen, B Xue, M Zhang
2019 IEEE Congress on Evolutionary Computation (CEC), 2657-2664, 2019
52019
New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation
Q Chen, M Zhang, B Xue
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
42017
Hessian complexity measure for genetic programming-based imputation predictor selection in symbolic regression with incomplete data
B Al-Helali, Q Chen, B Xue, M Zhang
European Conference on Genetic Programming (Part of EvoStar), 1-17, 2020
32020
Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data
B Al-Helali, Q Chen, B Xue, M Zhang
Australasian Joint Conference on Artificial Intelligence, 523-535, 2019
32019
Differential evolution for instance based transfer learning in genetic programming for symbolic regression
Q Chen, B Xue, M Zhang
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
32019
A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data
B Al-Helali, Q Chen, B Xue, M Zhang
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2395-2402, 2019
22019
Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data
B Al-Helali, Q Chen, B Xue, M Zhang
Asian Conference on Pattern Recognition, 566-579, 2019
22019
Instance based Transfer Learning for Genetic Programming for Symbolic Regression
Q Chen, B Xue, M Zhang
2019 IEEE Congress on Evolutionary Computation (CEC), 3006-3013, 2019
22019
Improving symbolic regression based on correlation between residuals and variables
Q Chen, B Xue, M Zhang
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 922-930, 2020
12020
Improving the generalisation of genetic programming for symbolic regression
Q Chen
Victoria University of Wellington, 2018
12018
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