Ghent University Academic Bibliography

Conference Paper
C1
open access

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) KDD '25 : proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. p.4796-4805

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Journal Article
A1
open access

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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Journal Article
A1
open access

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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Journal Article
A1
open access

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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Journal Article
A1
open access

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).

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Journal Article
A1
open access

Forecasting time series in healthcare with Gaussian processes and Dynamic Time Warping based subset selection

Chetanya Puri, Gerben Kooijman, Bart Vanrumste and Stijn Luca (UGent)

(2022) IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 26(12). p.6126-6137

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Journal Article
A1
open access

Aleatoric and epistemic uncertainty in machine learning : an introduction to concepts and methods

Eyke Huellermeier and Willem Waegeman (UGent)

(2021) MACHINE LEARNING. 110(3). p.457-506

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Data-efficient Gaussian process regression for accurate visible light positioning

Nicolas Knudde, Willem Raes, Jorik De Bruycker, Tom Dhaene (UGent) and Nobby Stevens

(2020) IEEE COMMUNICATIONS LETTERS. 24(8). p.1705-1709

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Journal Article
A1
open access

Experimental evaluation of machine learning methods for robust received signal strength-based visible light positioning

Willem Raes, Nicolas Knudde, Jorik De Bruycker, Tom Dhaene (UGent) and Nobby Stevens

(2020) SENSORS. 20(21).

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Hierarchical Gaussian process models for improved metamodeling

Nicolas Knudde, Vincent Dutordoir, Joachim van der Herten (UGent) , Ivo Couckuyt (UGent) and Tom Dhaene (UGent)

(2020) ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION. 30(4).

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A machine learning-based epistemic modeling framework for EMC and SI assessment

Duygu De Witte, Simon De Ridder, Domenico Spina (UGent) , Tom Dhaene (UGent) , Hendrik Rogier (UGent) , Dries Vande Ginste (UGent) and Flavia Grassi

(2020) 2020 IEEE 24th Workshop on Signal and Power Integrity (SPI), Proceedings. In IEEE Workshop on Signal and Power Integrity

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Gaussian processes for daily demand prediction

Wai Tsang and Dries Benoit (UGent)

(2020) JOURNAL OF FORECASTING. 39(3). p.551-568

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Magnetic linear response properties calculations with Gaussian and augmented-plane-wave method

Valery Weber, Marcella Iannuzzi, Samuele Giani, Juerg Hutter, Reinout Declerck (UGent) and Michel Waroquier (UGent)

(2009) JOURNAL OF CHEMICAL PHYSICS. 131(1).

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2-D angle estimation with spherical arrays for scalar fields by means of unitary spherical ESPRIT

Roald Goossens (UGent) and Hendrik Rogier (UGent)

(2009) 2009 IEEE Antennas and Propagation Society international symposium and USNC/URSI National Radio Science meeting, vols 1-6. p.325-328

Academic Bibliography

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

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

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

Forecasting time series in healthcare with Gaussian processes and Dynamic Time Warping based subset selection

Aleatoric and epistemic uncertainty in machine learning : an introduction to concepts and methods

Data-efficient Gaussian process regression for accurate visible light positioning

Experimental evaluation of machine learning methods for robust received signal strength-based visible light positioning

Hierarchical Gaussian process models for improved metamodeling

A machine learning-based epistemic modeling framework for EMC and SI assessment

Gaussian processes for daily demand prediction

Magnetic linear response properties calculations with Gaussian and augmented-plane-wave method

2-D angle estimation with spherical arrays for scalar fields by means of unitary spherical ESPRIT

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