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(2024). Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. Data Science and Machine Learning. 10.1007/978-981-99-8696-5_12. (163-176).
Rockett P, Lopes Y, Dou T and Hathway E. d(Tree)-by-dx: Automatic and Exact Differentiation of Genetic Programming Trees. Hybrid Artificial Intelligent Systems. (133-144).
Chen Q, Zhang M and Xue B. Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression. IEEE Transactions on Evolutionary Computation. 10.1109/TEVC.2018.2881392. 23:4. (703-717).
Chen Q, Xue B and Zhang M. Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators. IEEE Transactions on Evolutionary Computation. 10.1109/TEVC.2018.2869621. 23:3. (488-502).
Liu Q and Hu Y.
(2019). A Discrete Cosine Transform Based Evolutionary Algorithm and Its Application for Symbolic Regression. Intelligent Computing. 10.1007/978-3-030-22871-2_30. (444-462).
Chen Q, Zhang M and Xue B.
(2017). Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. IEEE Transactions on Evolutionary Computation. 21:5. (792-806). Online publication date: 1-Oct-2017.
Chen Q, Zhang M and Xue B.
(2017). Genetic Programming with Embedded Feature Construction for High-Dimensional Symbolic Regression. Intelligent and Evolutionary Systems. 10.1007/978-3-319-49049-6_7. (87-102).
Chen Q, Xue B, Shang L and Zhang M. Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation. Proceedings of the Genetic and Evolutionary Computation Conference 2016. (709-716).
Chen Q, Xue B, Niu B and Zhang M.
(2016). Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection 2016 IEEE Congress on Evolutionary Computation (CEC). 10.1109/CEC.2016.7744270. 978-1-5090-0623-6. (3793-3800).