Baligh Al-Helali
Orcid: 0000-0003-0555-809X
According to our database1,
Baligh Al-Helali
authored at least 18 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data.
IEEE Trans. Cybern., July, 2024
Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024
2021
Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data.
IEEE Trans. Evol. Comput., 2021
A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data.
Soft Comput., 2021
GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
Proceedings of the Genetic Programming - 23rd European Conference, 2020
Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
2019
A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019
2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
2017
2016