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Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning.

, , , and . GECCO, page 1184-1193. ACM, (2023)

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Object Detection using Neural Networks and Genetic Programming, and . Technical report, CS-TR-07-3. Computer Science, Victoria University of Wellington, New Zealand, (November 2007)Not-Sampled Issue and Round-Replacement Tournament Selection, , and . Technical report, CS-TR-07-2. Computer Science, Victoria University of Wellington, New Zealand, (November 2007)Neural Networks and Genetic Algorithms for Domain Independent Multiclass Object Detection, and . International Journal of Computational Intelligence and Applications, 4 (1): 77--108 (March 2004)Genetic Algorithms and Neural Networks for Object Detection. Genetic and Evolutionary Computation for Image Processing and Analysis, chapter 20, Hindawi Publishing Corporation, (2007)Improving Fitness Function and Optimising Training Data in GP for Object Detection, and . CS-TR-06-8. Computer Science, Victoria University of Wellington, New Zealand, (2006)Empirical analysis of schemata in Genetic Programming using maximal schemata and MSG., and . IEEE Congress on Evolutionary Computation, page 2983-2990. IEEE, (2008)Applying Online Gradient Descent Search to Genetic Programming, and . CS-TR-03-13. Computer Science, Victoria University of Wellington, New Zealand, (2003)Guest Editorial Special Issue on Multitask Evolutionary Computation., , , and . IEEE Trans. Evol. Comput., 26 (2): 202-205 (2022)Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-Invariant Texture Image Descriptors., , , and . IEEE Trans. Evol. Comput., 21 (6): 825-844 (2017)Guest Editorial: Special Issue on Computational Intelligence for Cloud Computing., , , and . IEEE Trans. Emerg. Top. Comput. Intell., 2 (1): 1-2 (2018)