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Indoor Person Identification Using a Low-Power FMCW Radar., , , , , , и . IEEE Trans. Geosci. Remote. Sens., 56 (7): 3941-3952 (2018)Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions., , и . IEEE Congress on Evolutionary Computation, стр. 1-8. IEEE, (2012)Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design., , , и . CEC, стр. 1634-1641. IEEE, (2016)Efficient global optimization of multi-parameter network problems on wireless testbeds., , , , , , , и . Ad Hoc Networks, (2015)Efficient Identification of a Multi-Objective Pareto Front on a Wireless Experimentation Facility., , , , , , , , , и . IEEE Trans. Wirel. Commun., 15 (10): 6662-6675 (2016)Indoor human activity recognition using high-dimensional sensors and deep neural networks., , , , , и . Neural Comput. Appl., 32 (16): 12295-12309 (2020)Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems., , , , , и . CoRR, (2021)Automatic Approximation of Expensive Functions with Active Learning., , , и . Foundations of Computational Intelligence (1), том 201 из Studies in Computational Intelligence, Springer, (2009)Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity., , , , , , и . Knowl. Based Syst., (2021)Classification aided domain reduction for high dimensional optimization., , , , и . WSC, стр. 3928-3939. IEEE/ACM, (2014)