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Hierarchical Gaussian Process Models for Improved Metamodeling., , , , и . ACM Trans. Model. Comput. Simul., 30 (4): 23:1-23:17 (2020)Active Learning for Feasible Region Discovery., , , и . ICMLA, стр. 567-572. IEEE, (2019)Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning., , , , и . Sensors, 20 (21): 6109 (2020)Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfaces., , , , и . WSC, стр. 1728-1739. IEEE, (2017)Indoor human activity recognition using high-dimensional sensors and deep neural networks., , , , , и . Neural Comput. Appl., 32 (16): 12295-12309 (2020)Indoor Person Identification Using a Low-Power FMCW Radar., , , , , , и . IEEE Trans. Geosci. Remote. Sens., 56 (7): 3941-3952 (2018)Machine Learning for RSS-Based Visible Light Positioning., , , , и . (мая 2022)Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes., , , , и . EANN, том 893 из Communications in Computer and Information Science, стр. 16-27. Springer, (2018)Data-Efficient Gaussian Process Regression for Accurate Visible Light Positioning., , , , и . IEEE Commun. Lett., 24 (8): 1705-1709 (2020)Multi-objective Bayesian Optimization for Engineering Simulation., , , и . High-Performance Simulation-Based Optimization, том 833 из Studies in Computational Intelligence, Springer, (2020)