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ORCIDBaligh Al-Helali
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Journal Articles
- 2024
[j6]Baligh Al-Helali
, Qi Chen, Bing Xue, Mengjie Zhang:
Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data. IEEE Trans. Cybern. 54(7): 4014-4027 (2024)- [j5]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2269-2282 (2024) - 2021
- [j4]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data. Soft Comput. 25(8): 5993-6012 (2021) - [j3]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data. IEEE Trans. Evol. Comput. 25(6): 1049-1063 (2021) - 2017
- [j2]Baligh M. Al-Helali, Sabri A. Mahmoud:
Arabic Online Handwriting Recognition (AOHR): A Survey. ACM Comput. Surv. 50(3): 33:1-33:35 (2017) - 2016
- [j1]Baligh M. Al-Helali, Sabri A. Mahmoud:
A Statistical Framework for Online Arabic Character Recognition. Cybern. Syst. 47(6): 478-498 (2016)
Conference and Workshop Papers
- 2021
- [c12]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. CEC 2021: 604-611 - 2020
- [c11]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values. Australasian Conference on Artificial Intelligence 2020: 163-175 - [c10]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. CEC 2020: 1-8 - [c9]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. CEC 2020: 1-8 - [c8]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data. EuroGP 2020: 1-17 - [c7]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data. GECCO 2020: 913-921 - [c6]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data. SSCI 2020: 905-912 - [c5]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Data Imputation for Symbolic Regression with Missing Values: A Comparative Study. SSCI 2020: 2093-2100 - 2019
- [c4]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data. ACPR (2) 2019: 566-579 - [c3]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data. Australasian Conference on Artificial Intelligence 2019: 523-535 - [c2]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data. SSCI 2019: 2395-2402 - 2018
- [c1]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values. Australasian Conference on Artificial Intelligence 2018: 345-357
Coauthor Index
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