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A Comparison of Global Sensitivity Analysis Methods for Explainable AI With an Application in Genomic Prediction., , , , , и . IEEE Access, (2022)Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation., , , , и . IEEE Trans. Evol. Comput., 26 (2): 206-217 (2022)Automatic Configuration of Deep Neural Networks with EGO., , и . CoRR, (2018)Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection., , , и . Comput. Ind., (апреля 2023)GSAreport: Easy to Use Global Sensitivity Reporting., и . J. Open Source Softw., 7 (78): 4721 (октября 2022)Emergence of structural bias in differential evolution., , и . GECCO Companion, стр. 1234-1242. ACM, (2021)DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis., , , , , и . GECCO Companion, стр. 515-518. ACM, (2023)Using structural bias to analyse the behaviour of modular CMA-ES., , , и . GECCO Companion, стр. 1674-1682. ACM, (2022)Multi-point acquisition function for constraint parallel efficient multi-objective optimization., , и . GECCO, стр. 511-519. ACM, (2022)Local subspace-based outlier detection using global neighbourhoods., , и . IEEE BigData, стр. 1136-1142. IEEE Computer Society, (2016)