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Qi Chen
Qi Chen
Senior Lecturer in Artificial Intelligence, Victoria University of Wellington
Verified email at ecs.vuw.ac.nz
Title
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Year
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
2162019
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
1352017
Explainable artificial intelligence by genetic programming: A survey
Y Mei, Q Chen, A Lensen, B Xue, M Zhang
IEEE Transactions on Evolutionary Computation 27 (3), 621-641, 2022
682022
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
572018
A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data
B Al-Helali, Q Chen, B Xue, M Zhang
Soft Computing 25 (8), 5993-6012, 2021
482021
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
422018
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
392015
Rademacher complexity for enhancing the generalization of genetic programming for symbolic regression
Q Chen, B Xue, M Zhang
IEEE transactions on cybernetics 52 (4), 2382-2395, 2020
352020
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
342016
A hybrid GP-KNN imputation for symbolic regression with missing values
B Al-Helali, Q Chen, B Xue, M Zhang
AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018
332018
Genetic programming for instance transfer learning in symbolic regression
Q Chen, B Xue, M Zhang
IEEE Transactions on Cybernetics 52 (1), 25-38, 2020
262020
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
242016
Genetic programming with embedded feature construction for high-dimensional symbolic regression
Q Chen, M Zhang, B Xue
Intelligent and Evolutionary Systems: The 20th Asia Pacific Symposium, IES …, 2017
232017
Multitree genetic programming with new operators for transfer learning in symbolic regression with incomplete data
B Al-Helali, Q Chen, B Xue, M Zhang
IEEE Transactions on Evolutionary Computation 25 (6), 1049-1063, 2021
212021
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
212019
Geometric semantic crossover with an angle-aware mating scheme in genetic programming for symbolic regression
Q Chen, B Xue, Y Mei, M Zhang
Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The …, 2017
192017
SR-Forest: a genetic programming based heterogeneous ensemble learning method
H Zhang, A Zhou, Q Chen, B Xue, M Zhang
IEEE Transactions on Evolutionary Computation, 2023
182023
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
182019
Preserving population diversity based on transformed semantics in genetic programming for symbolic regression
Q Chen, B Xue, M Zhang
IEEE Transactions on Evolutionary Computation 25 (3), 433-447, 2020
142020
Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data
B Al-Helali, Q Chen, B Xue, M Zhang
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 913-921, 2020
132020
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