- ORCID iD
- 0000-0001-7116-7850
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- Conference Paper
- C1
- open access
Data analytics for health and connected care : ontology, knowledge graph and applications
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- Book Chapter
- open access
Multi-objective Bayesian optimization for engineering simulation
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Hierarchical Gaussian process models for improved metamodeling
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ALBATROS : adaptive line-based sampling trajectories for sequential measurements
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Data-efficient sensitivity analysis with surrogate modeling
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- Journal Article
- A1
- open access
Sequential sensitivity analysis of expensive black-box simulators with metamodelling
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- Book Chapter
- open access
Surrogate modelling with sequential design for expensive simulation applications
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Surrogate modeling with sequential design for design and analysis of electronic systems
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- Conference Paper
- P1
- open access
Deep Gaussian process metamodeling of sequentially sampled non-stationary response surfaces
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- Conference Paper
- C1
- open access
GPflowOpt : a bayesian optimization library using tensorflow
(2017) p.1-5