Ghent University Academic Bibliography

Your filters: cql: keyword exact "gaussian processes"

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Spectral bayesian optimization using a physics-informed rational Szego kernel for microwave design

Yens Lindemans (UGent) , Thijs Ullrick (UGent) , Ivo Couckuyt (UGent) , Tim Pattyn (UGent) , Dirk Deschrijver (UGent) , Dries Vande Ginste (UGent) and Tom Dhaene (UGent)

(2025) IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY. 15(9). p.1836-1846
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Chasing the timber trail : machine learning to reveal harvest location misrepresentation

Shailik Sarkar, Raquib Bin Yousuf, Linhan Wang, Brian Mayer, Thomas Mortier (UGent) , Victor Deklerck, Jakub Truszkowski, John C. Simeone, Marigold Norman, Jade Saunders, et al.

(2025) PROCEEDINGS OF THE 31ST ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING V.2, KDD 2025. p.4796-4805
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Bayesian integrated estimation of two-dimensional tungsten concentration profiles at WEST using soft X-ray and bolometry diagnostics

Hao Wu (UGent) , Tianbo Wang, Axel Jardin, Didier Mazon and Geert Verdoolaege (UGent)

(2025) PLASMA PHYSICS AND CONTROLLED FUSION. 67(8).
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Adaptive design of experiments to fit surrogate Gaussian process regression models allows fast sensitivity analysis of the input waveform for patient-specific 3D CFD models of liver radioembolization

Tim Bomberna, Geert Maleux and Charlotte Debbaut (UGent)

(2024) COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. 252.
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A robust Bayesian optimization framework for microwave circuit design under uncertainty

Duygu De Witte, Jixiang Qing, Ivo Couckuyt (UGent) , Tom Dhaene (UGent) , Dries Vande Ginste (UGent) and Domenico Spina (UGent)

(2022) ELECTRONICS. 11(14).

Academic Bibliography

Spectral bayesian optimization using a physics-informed rational Szego kernel for microwave design

Chasing the timber trail : machine learning to reveal harvest location misrepresentation

Bayesian integrated estimation of two-dimensional tungsten concentration profiles at WEST using soft X-ray and bolometry diagnostics

Adaptive design of experiments to fit surrogate Gaussian process regression models allows fast sensitivity analysis of the input waveform for patient-specific 3D CFD models of liver radioembolization

A robust Bayesian optimization framework for microwave circuit design under uncertainty

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