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Flexible Correlation Structure for Accurate Prediction and Uncertainty Quantification in Bayesian Gaussian Process Emulation of a Computer Model., , и . SIAM/ASA J. Uncertain. Quantification, 5 (1): 598-620 (2017)Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images., , , , , , , , и . J. Chem. Inf. Model., 58 (8): 1533-1543 (2018)Choosing the Sample Size of a Computer Experiment: A Practical Guide., , и . Technometrics, 51 (4): 366-376 (2009)Exploration of Cluster Structure-Activity Relationship Analysis in Efficient High-Throughput Screening., , , , и . Journal of Chemical Information and Modeling, 47 (3): 1206-1214 (2007)Distilling and transferring knowledge via cGAN-generated samples for image classification and regression., , , , и . Expert Syst. Appl., 213 (Part C): 119060 (марта 2023)Construction of Permutation Tests. Journal of the American Statistical Association, 85 (411): 693--698 (1990)Designs for Computer Experiments, , и . Technometrics, 31 (1): 41--47 (1989)Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter., и . CoRR, (2018)CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation., , , , и . CoRR, (2020)Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images Based on Annotation-Free Training Samples., , и . CICAI, том 13069 из Lecture Notes in Computer Science, стр. 662-673. Springer, (2021)