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Constructing classifiers of expensive simulation-based data by sequential experimental design.

, , , and . WSC, page 3166-3167. IEEE/ACM, (2015)

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Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions., , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design., , , and . CEC, page 1634-1641. IEEE, (2016)Indoor Person Identification Using a Low-Power FMCW Radar., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 56 (7): 3941-3952 (2018)Indoor human activity recognition using high-dimensional sensors and deep neural networks., , , , , and . Neural Comput. Appl., 32 (16): 12295-12309 (2020)Classification aided domain reduction for high dimensional optimization., , , , and . WSC, page 3928-3939. IEEE/ACM, (2014)Surrogate Modelling of Dynamic Phasor Simulations of Electrical Drives., , , , , and . IECON, page 1-6. IEEE, (2022)Hierarchical Gaussian Process Models for Improved Metamodeling., , , , and . ACM Trans. Model. Comput. Simul., 30 (4): 23:1-23:17 (2020)Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models., , , , and . J. Optimization Theory and Applications, 175 (1): 172-193 (2017)A Matlab Toolbox for Kriging Metamodelling., , , , and . ICCS, volume 51 of Procedia Computer Science, page 2708-2713. Elsevier, (2015)PF2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 2565-2588. PMLR, (2023)