Genetic Programming Bibliography entries for Baligh Al-Helali

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GP coauthors/coeditors: Qi Chen, Bing Xue, Mengjie Zhang,

Genetic Programming Articles by Baligh Al-Helali

  1. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data. Soft Computing, 25(8):5993-6012, 2021. details

  2. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Multi-Tree Genetic Programming with New Operators for Transfer Learning in Symbolic Regression with Incomplete Data. IEEE Transactions on Evolutionary Computation, 25(6):1049-1063, 2021. details

  3. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression. IEEE Transactions on Emerging Topics in Computational Intelligence. Early access. details

  4. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data. IEEE Transactions on Cybernetics. Early access. details

Genetic Programming conference papers by Baligh Al-Helali

  1. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 604-611, Krakow, Poland, 2021. details

  2. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values. In Marcus Gallagher and Nour Moustafa and Erandi Lakshika editors, AI 2020: Advances in Artificial Intelligence - 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29-30, 2020, Proceedings, volume 12576, pages 163-175, 2020. Springer. details

  3. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Data Imputation for Symbolic Regression with Missing Values: A Comparative Study. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI), pages 2093-2100, 2020. details

  4. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Multi-Tree Genetic Programming for Feature Construction-Based Domain Adaptation in Symbolic Regression with Incomplete Data. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 913-921, internet, 2020. Association for Computing Machinery. details

  5. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Hessian Complexity Measure for Genetic Programming-based Imputation Predictor Selection in Symbolic Regression with Incomplete Data. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 1-17, Seville, Spain, 2020. Springer Verlag. details

  6. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24250, internet, 2020. IEEE Press. details

  7. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24344, internet, 2020. IEEE Press. details

  8. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data. In Jixue Liu and James Bailey editors, AI 2019: Advances in Artificial Intelligence - 32nd Australasian Joint Conference, Adelaide, SA, Australia, December 2-5, 2019, Proceedings, volume 11919, pages 523-535, 2019. Springer. details

  9. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data. In Shivakumara Palaiahnakote and Gabriella Sanniti di Baja and Liang Wang and Wei Qi Yan editors, Pattern Recognition - 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26-29, 2019, Revised Selected Papers, Part II, volume 12047, pages 566-579, 2019. Springer. details

  10. Baligh Al-Helali and Qi Chen and Bing Xue and Mengjie Zhang. A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pages 2395-2402, 2019. details