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Local Search is a Remarkably Strong Baseline for Neural Architecture Search., , , и . CoRR, (2020)An Analysis of the Ingredients for Learning Interpretable Symbolic Regression Models with Human-in-the-loop and Genetic Programming., , , , и . ACM Trans. Evol. Learn. Optim., 4 (1): 5:1-5:30 (марта 2024)Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions., , , и . Evol. Comput., 29 (2): 211-237 (2021)DAISY: An Implementation of Five Core Principles for Transparent and Accountable Conversational AI., и . Int. J. Hum. Comput. Interact., 39 (9): 1856-1873 (мая 2023)Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors., , , , и . GECCO, стр. 1395-1402. ACM, (2018)Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learning., , , и . GECCO, стр. 1041-1048. ACM, (2017)Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy., , , , , , , , , и 4 other автор(ы). CoRR, (2020)On the robustness of sparse counterfactual explanations to adverse perturbations., и . Artif. Intell., (марта 2023)Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning., , , и . CoRR, (2022)Coefficient mutation in the gene-pool optimal mixing evolutionary algorithm for symbolic regression., и . GECCO Companion, стр. 2289-2297. ACM, (2022)