Boosted optimal weighted least-squares von Haberstich, Cécile, Nouy, Anthony, Perrin, Guillaume

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Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework von Perrin, Guillaume, Soize, Christian

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Calibration of Johnson’s damage model by a Bayesian approach von Perrin, Guillaume, Pillon, Laurianne

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Adaptive calibration of a computer code with time-series output von Perrin, Guillaume

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Identification of Food Spoilage Fungi Using MALDI-TOF MS: Spectral Database Development and Application to Species Complex von Rolland, Nolwenn, Girard, Victoria, Monnin, Valérie, Arend, Sandrine, Perrin, Guillaume, Ballan, Damien, Beau, Rachel, Collin, Valérie, D'Arbaumont, Maëlle, Weill, Amélie, Deniel, Franck, Tréguer, Sylvie, Pawtowski, Audrey, Jany, Jean-Luc, Mounier, Jérôme

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Selective Outdoor Humidity Monitoring Using Epoxybutane Polyethyleneimine in a Flexible Microwave Sensor von Ngoune, Bernard Bobby, Hallil, Hamida, Lebental, Bérengère, Perrin, Guillaume, Shinde, Shekhar, Cloutet, Eric, George, Julien, Bila, Stéphane, Baillargeat, Dominique, Dejous, Corinne

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A comparison of mixed-variables Bayesian optimization approaches von Cuesta Ramirez, Jhouben, Le Riche, Rodolphe, Roustant, Olivier, Perrin, Guillaume, Durantin, Cédric, Glière, Alain

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Reconstruction of Random Fields Concentrated on an Unknown Curve using Irregularly Sampled Data von Perrin, Guillaume, Soize, Christian

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Point process-based approaches for the reliability analysis of systems modeled by costly simulators von Perrin, G.

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Uncertainty-Based Calibration Method for Environmental Sensors-Application to Chlorine and pH Monitoring With Carbon Nanotube Sensor Array von Perrin, Guillaume, Lebental, Berengere

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Influence of 3D particle shape on the mechanical behaviour through a novel characterization method von Ouhbi, Noura, Voivret, Charles, Perrin, Guillaume, Roux, Jean-Noël

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Measurements-based constrained control optimization in presence of uncertainties with application to the driver commands for high-speed trains von Nespoulous, Julien, Perrin, Guillaume, Funfschilling, Christine, Soize, Christian

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Adaptive early classification of temporal sequences using deep reinforcement learning von Martinez, Coralie, Ramasso, Emmanuel, Perrin, Guillaume, Rombaut, Michèle

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Efficient evaluation of reliability-oriented sensitivity indices von Defaux, Gilles, Perrin, Guillaume

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Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints von Perrin, G., Soize, C., Ouhbi, N.

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Optimizing Sensor Calibration in Open Environments: A Bayesian Approach for Non-Specific Multisensory Systems von Dumon, Marine, Lebental, Bérengère, Perrin, Guillaume

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An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputs von Marque-Pucheu, Sophie, Perrin, Guillaume, Garnier, Josselin

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Bayesian Approach for Multigamma Radionuclide Quantification Applied on Weakly Attenuating Nuclear Waste Drums von Clement, A., Saurel, N., Perrin, G., Gombert, N.

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Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints von Perrin, Guillaume, Soize, Christian, Ouhbi, N.

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3D particle shape modelling and optimization through proper orthogonal decomposition: Application to Railway Ballast von Ouhbi, Noura, Voivret, Charles, Perrin, Guillaume, Roux, Jean-Noël

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