A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data

2019 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci44817.2019.9002861 ◽

2019 ◽

Author(s):

Baligh Al-Helali ◽

Qi Chen ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Genetic Programming ◽

Incomplete Data ◽

Symbolic Regression ◽

Imputation Method

Download Full-text

A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data

Soft Computing ◽

10.1007/s00500-021-05590-y ◽

2021 ◽

Author(s):

Baligh Al-Helali ◽

Qi Chen ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Genetic Programming ◽

Incomplete Data ◽

Symbolic Regression ◽

Imputation Method

Download Full-text

Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data

Proceedings of the 2020 Genetic and Evolutionary Computation Conference ◽

10.1145/3377930.3390160 ◽

2020 ◽

Author(s):

Baligh Al-Helali ◽

Qi Chen ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Genetic Programming ◽

Incomplete Data ◽

Domain Adaptation ◽

Symbolic Regression ◽

Feature Construction

Download Full-text

Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data

2020 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec48606.2020.9185526 ◽

2020 ◽

Author(s):

Baligh Al-Helali ◽

Qi Chen ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Genetic Programming ◽

Incomplete Data ◽

Symbolic Regression ◽

Noise Sensitivity

Download Full-text

Multi-Tree Genetic Programming with New Operators for Transfer Learning in Symbolic Regression with Incomplete Data

IEEE Transactions on Evolutionary Computation ◽

10.1109/tevc.2021.3079843 ◽

2021 ◽

pp. 1-1

Author(s):

Baligh Al-Helali ◽

Qi Chen ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Genetic Programming ◽

Transfer Learning ◽

Incomplete Data ◽

Symbolic Regression

Download Full-text

Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data

AI 2019: Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-35288-2_42 ◽

2019 ◽

pp. 523-535 ◽

Author(s):

Baligh Al-Helali ◽

Qi Chen ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Genetic Programming ◽

Incomplete Data ◽

Symbolic Regression ◽

High Dimensional ◽

Selection And Ranking

Download Full-text

Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data

2020 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec48606.2020.9185670 ◽

2020 ◽

Author(s):

Baligh Al-Helali ◽

Qi Chen ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Genetic Programming ◽

Transfer Learning ◽

Incomplete Data ◽

Symbolic Regression

Download Full-text

Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-030-41299-9_44 ◽

2020 ◽

pp. 566-579

Author(s):

Baligh Al-Helali ◽

Qi Chen ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Feature Selection ◽

Genetic Programming ◽

Incomplete Data ◽

Symbolic Regression

Download Full-text

Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data

Lecture Notes in Computer Science - Genetic Programming ◽

10.1007/978-3-030-44094-7_1 ◽

2020 ◽

pp. 1-17 ◽

Author(s):

Baligh Al-Helali ◽

Qi Chen ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Genetic Programming ◽

Incomplete Data ◽

Symbolic Regression ◽

Complexity Measure

Download Full-text

Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation

Proceedings of the Genetic and Evolutionary Computation Conference Companion ◽

10.1145/3449726.3459461 ◽

2021 ◽

Author(s):

Christian Raymond ◽

Qi Chen ◽

Bing Xue ◽

Mengjie Zhang

Keyword(s):

Genetic Programming ◽

Symbolic Regression ◽

Multi Objective

Download Full-text

Empirical analysis of variance for genetic programming based symbolic regression

Proceedings of the Genetic and Evolutionary Computation Conference Companion ◽

10.1145/3449726.3459486 ◽

2021 ◽

Author(s):

Lukas Kammerer ◽

Gabriel Kronberger ◽

Stephan Winkler

Keyword(s):

Genetic Programming ◽

Empirical Analysis ◽

Analysis Of Variance ◽

Symbolic Regression

Download Full-text