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GPareto : An R Package for Gaussian-Process-Based Multi-Objective Optimization and Analysis

Journal of statistical software, 2019, Vol.89 (8), p.1-30

2019

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Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments

Journal of computational and graphical statistics, 2018-10, Vol.27 (4), p.808-821

2018

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hetGP : Heteroskedastic Gaussian Process Modeling and Sequential Design in R

Journal of statistical software, 2021, Vol.98 (13), p.1-44

2021

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On the choice of the low-dimensional domain for global optimization via random embeddings

Journal of global optimization, 2020, Vol.76 (1), p.69-90

2020

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A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization

ACM transactions on evolutionary learning, 2022-08, Vol.2 (2), p.1-26, Article 8

2022

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A Bayesian optimization approach to find Nash equilibria

Journal of global optimization, 2019-01, Vol.73 (1), p.171-192

2019

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Evaluating Gaussian process metamodels and sequential designs for noisy level set estimation

Statistics and computing, 2021-07, Vol.31 (4), Article 43

2021

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Replication or Exploration? Sequential Design for Stochastic Simulation Experiments

Technometrics, 2019-01, Vol.61 (1), p.7-23

2019

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Persistent maculopapular rash after the first dose of Pfizer‐BioNTech COVID‐19 vaccine

Journal of the European Academy of Dermatology and Venereology, 2021-07, Vol.35 (7), p.e423-e425

2021

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Geometrically consistent aerodynamic optimization using an isogeometric Discontinuous Galerkin method

Computers & mathematics with applications (1987), 2022-12, Vol.128, p.368-381

2022

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A population data-driven workflow for COVID-19 modeling and learning

The international journal of high performance computing applications, 2021-09, Vol.35 (5), p.483-499

2021

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Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations

European journal of operational research, 2015-06, Vol.243 (2), p.386-394

2015

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Présence, perception et prévention de la fasciolose ovine aux xIIIe et xIVe siècles

Anthropozoologica, 2024-05, Vol.59 (5)

Binois-Roman, Annelise

2024

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Data-driven uncertainty quantification in macroscopic traffic flow models

Advances in computational mathematics, 2022-12, Vol.48 (6), Article 75

2022

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Multiobjective Statistical Learning Optimization of RGB Metalens

ACS photonics, 2021-08, Vol.8 (8), p.2498-2508

2021

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On the estimation of Pareto fronts from the point of view of copula theory

Information sciences, 2015-12, Vol.324, p.270-285

2015

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Sequential Learning of Active Subspaces

Journal of computational and graphical statistics, 2021-10, Vol.30 (4), p.1224-1237

2021

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A case of erythema multiforme major with multiple mucosal involvements in COVID‐19 infection

International journal of dermatology, 2021-01, Vol.60 (1), p.117-118

2021

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Excavating the history of ancient veterinary practices

Veterinary record, 2015-05, Vol.176 (22), p.564-569

Binois, Annelise

2015

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Les crises épizootiques en France de l’Antiquité à la période moderne: Fréquence, origines et impacts

Nouvelles de l'archéologie, 2022-12 (169), p.16-23

Binois-Roman, Annelise

2022

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Optimization of metasurfaces under geometrical uncertainty using statistical learning

Optics express, 2021-09, Vol.29 (19), p.29887-29898

2021

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Sensitivity Prewarping for Local Surrogate Modeling

Technometrics, 2022-10, Vol.64 (4), p.535-547

2022

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A transverse isotropic equivalent fluid model combining both limp and rigid frame behaviors for fibrous materials

The Journal of the Acoustical Society of America, 2018-04, Vol.143 (4), p.2089-2098

2018

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Animal origin of 13th-century uterine vellum revealed using noninvasive peptide fingerprinting

Proceedings of the National Academy of Sciences - PNAS, 2015-12, Vol.112 (49), p.15066-15071

2015

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László Bartosiewicz and Erica Gál, eds. Care or Neglect? Evidence of Animal Disease in Archaeology (Oxford: Oxbow Books, 2018, 300pp., several illustr., pbk, ISBN 978-1-78-570889-3)

European journal of archaeology, 2019-05, Vol.22 (2), p.297-301

Binois-Roman, Annelise

2019

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GPareto : An R Package for Gaussian-Process-Based Multi-Objective Optimization and Analysis

Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments

hetGP : Heteroskedastic Gaussian Process Modeling and Sequential Design in R

On the choice of the low-dimensional domain for global optimization via random embeddings

A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization

A Bayesian optimization approach to find Nash equilibria

Evaluating Gaussian process metamodels and sequential designs for noisy level set estimation

Replication or Exploration? Sequential Design for Stochastic Simulation Experiments

Persistent maculopapular rash after the first dose of Pfizer‐BioNTech COVID‐19 vaccine

Geometrically consistent aerodynamic optimization using an isogeometric Discontinuous Galerkin method

A population data-driven workflow for COVID-19 modeling and learning

Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations

Présence, perception et prévention de la fasciolose ovine aux xIIIe et xIVe siècles

Data-driven uncertainty quantification in macroscopic traffic flow models

Multiobjective Statistical Learning Optimization of RGB Metalens

On the estimation of Pareto fronts from the point of view of copula theory

Sequential Learning of Active Subspaces

A case of erythema multiforme major with multiple mucosal involvements in COVID‐19 infection

Excavating the history of ancient veterinary practices

Les crises épizootiques en France de l’Antiquité à la période moderne: Fréquence, origines et impacts

Optimization of metasurfaces under geometrical uncertainty using statistical learning

Sensitivity Prewarping for Local Surrogate Modeling

A transverse isotropic equivalent fluid model combining both limp and rigid frame behaviors for fibrous materials

Animal origin of 13th-century uterine vellum revealed using noninvasive peptide fingerprinting

László Bartosiewicz and Erica Gál, eds. Care or Neglect? Evidence of Animal Disease in Archaeology (Oxford: Oxbow Books, 2018, 300pp., several illustr., pbk, ISBN 978-1-78-570889-3)

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