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An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputs., , and . Comput. Stat., 35 (3): 1059-1099 (2020)Active learning of tree tensor networks using optimal least-squares., , and . CoRR, (2021)A Posteriori Error and Optimal Reduced Basis for Stochastic Processes Defined by a Finite Set of Realizations., , , and . SIAM/ASA J. Uncertain. Quantification, 2 (1): 745-762 (2014)Group Kernels for Gaussian Process Metamodels with Categorical Inputs., , , , , , and . SIAM/ASA J. Uncertain. Quantification, 8 (2): 775-806 (2020)Nested polynomial trends for the improvement of Gaussian process-based predictors., , , and . J. Comput. Phys., (2017)Uncertainty-based performance evaluation of a carbon nanotube-based sensor array monitoring pH and active chlorine in drink water., and . ISOEN, page 1-3. IEEE, (2022)A comparison of mixed-variables Bayesian optimization approaches., , , , , and . CoRR, (2021)A Calibration Process for Environmental Sensor Array Supporting Uncertainties and Unknown Perturbing Factors: Performances on Simulated and Real Data., , and . SENSORS, page 1-4. IEEE, (2023)A Deep Reinforcement Learning Approach for Early Classification of Time Series., , , and . EUSIPCO, page 2030-2034. IEEE, (2018)Adaptive calibration of a computer code with time-series output.. Reliab. Eng. Syst. Saf., (2020)