Genetic Programming Bibliography entries for Xiaoying (Sharon) Gao
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GP coauthors/coeditors:
Wenlong Fu,
Bing Xue,
Mengjie Zhang,
Kaixuan Jia,
Jianbin Ma,
Jiaxin Niu,
Qiaoman Li,
Wenyang Meng,
Mingqian Lin,
Lin Shang,
Guopeng Liu,
Tongle Hu,
Trevor Londt,
Peter Andreae,
Ying Li,
Weijun (Norman) Lou,
Minh Duc Cao,
Dongping Qian,
Genetic Programming Articles by Xiaoying (Sharon) Gao
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Wenyang Meng and Ying Li and Xiaoying Gao and Jianbin Ma.
Ensemble classifiers using multi-objective Genetic Programming for unbalanced data.
Applied Soft Computing, 158:111554, 2024.
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Wenlong Fu and Bing Xue and Xiaoying Gao and Mengjie Zhang.
Genetic Programming for Document Classification: A Transductive Transfer Learning System.
IEEE Transactions on Cybernetics, 54(2):1119-1132, 2024.
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Jianbin Ma and Xiaoying Gao and Ying Li.
Multi-generation multi-criteria feature construction using Genetic Programming.
Swarm and Evolutionary Computation, 78:101285, 2023.
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Guopeng Liu and Jianbin Ma and Tongle Hu and Xiaoying Gao.
A feature selection method with feature ranking using genetic programming.
Connect. Sci., 34(1):1146-1168, 2022.
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Wenlong Fu and Bing Xue and Xiaoying Gao and Mengjie Zhang.
Output-based transfer learning in genetic programming for document classification.
Knowledge-Based Systems, 212:106597, 2021.
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Wenlong Fu and Bing Xue and Xiaoying Gao and Mengjie Zhang.
Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features.
Applied Soft Computing, 103:107172, 2021.
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Jianbin Ma and Xiaoying Gao.
A filter-based feature construction and feature selection approach for classification using Genetic Programming.
Knowledge-Based Systems, 196:105806, 2020.
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Jianbin Ma and Xiaoying Gao.
Designing genetic programming classifiers with feature selection and feature construction.
Applied Soft Computing, 97:106826, 2020.
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Mengjie Zhang and Xiaoying Gao and Weijun Lou.
A New Crossover Operator in Genetic Programming for Object Classification.
IEEE Transactions on Systems, Man and Cybernetics, Part B, 37(5):1332-1343, 2007.
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Genetic Programming conference papers by Xiaoying (Sharon) Gao
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Qiaoman Li and Xiaoying Gao and Wenyang Meng and Jianbin Ma.
Multi-objective multi-population Genetic Programming for feature selection and classification to high-dimensional data. In
Ting Hu and Aniko Ekart editors,
Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 519-522, Melbourne, Australia, 2024. Association for Computing Machinery.
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Kaixuan Jia and Jianbin Ma and Xiaoying Gao and Jiaxin Niu.
Archive-based multiple feature construction methods using adaptive Genetic Programming. In
Ting Hu and Aniko Ekart editors,
Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 503-506, Melbourne, Australia, 2024. Association for Computing Machinery.
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Mingqian Lin and Lin Shang and Xiaoying Gao.
Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming. In
2023 IEEE International Conference on Data Mining Workshops (ICDMW), pages 371-378, 2023.
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Trevor Londt and Xiaoying Gao and Peter Andreae.
Evolving Character-Level DenseNet Architectures using Genetic Programming. In
Pedro Castillo and Juanlu Jimenez-Laredo editors,
24th International Conference, EvoApplications 2021, volume 12694, pages 665-680, virtual event, 2021. Springer Verlag.
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Wenlong Fu and Bing Xue and Xiaoying Gao and Mengjie Zhang.
Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning. In
Carlos A. Coello Coello editor,
2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 2260-2267, Wellington, New Zealand, 2019. IEEE Press.
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Wenlong Fu and Bing Xue and Mengjie Zhang and Xiaoying Gao.
Transductive Transfer Learning in Genetic Programming for Document Classification. In
Yuhui Shi and Kay Chen Tan and Mengjie Zhang and Ke Tang and Xiaodong Li and Qingfu Zhang and Ying Tan and Martin Middendorf and Yaochu Jin editors,
Proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, volume 10593, pages 556-568, Shenzhen, China, 2017. Springer.
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Mengjie Zhang and Xiaoying Gao and Weijun Lou.
Looseness Controlled Crossover in GP for Object Recognition. In
Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas editors,
Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 4428-4435, Vancouver, 2006. IEEE Press.
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Mengjie Zhang and Xiaoying Gao and Weijun Lou and Dongping Qian.
Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition. In
Qiang Yang and Geoffrey I. Webb editors,
PRICAI 2006: Trends in Artificial Intelligence, Proceedings 9th Pacific Rim International Conference on Artificial Intelligence, volume 4099, pages 923-928, Guilin, China, 2006. Springer.
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Mengjie Zhang and Xiaoying Gao and Weijun Lou.
GP for Object Classification: Brood Size in Brood Recombination Crossover. In
Abdul Sattar and Byeong Ho Kang editors,
Australian Conference on Artificial Intelligence, volume 4304, pages 274-284, Hobart, Australia, 2006. Springer.
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Genetic Programming technical reports by Xiaoying (Sharon) Gao
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Mengjie Zhang and Xiaoying Gao and Minh Duc Cao.
Experiments on Brood Size in GP with Brood Recombination Crossover for Object Recognition. Technical report,
CS-TR-06-6,
Computer Science, Victoria University of Wellington, New Zealand, 2006.
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Mengjie Zhang and Xiaoying Gao and Weijun Lou.
A New Crossover Operator in GP for Object Classification. Technical report,
CS-TR-06-2,
Computer Science, Victoria University of Wellington, New Zealand, 2006.
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