Ghent University Academic Bibliography

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- Conference Paper
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Data-driven surrogate modeling for the flammability reduction system

Arash Heidari (UGent) , Lorin Werthen-Brabants (UGent) , Tom Dhaene (UGent) , Ivo Couckuyt (UGent) , C. Onur, P. Van Gils and I. Jojic

(2024) AIAA SCITECH 2024 Forum. p.1-11
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- Journal Article
- open access
Multi-objective constrained robust design of a metamaterial vibration isolator with a limited budget

Hua Wei (UGent) , Qi Zhou, Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2024) JOURNAL OF ENGINEERING DESIGN.
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- Journal Article
- open access
Surrogate-Assisted Evolutionary Algorithm for the Calibration of Distributed Hydrological Models Based on Two-Dimensional Shallow Water Equations

Juan Fernando Farfán Durán, Arash Heidari (UGent) , Tom Dhaene (UGent) , Ivo Couckuyt (UGent) and Luis Cea

(2024) WATER. 16(5).
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- Conference Paper
- P1
Wideband complex vector fitting for modeling time delay variations in passive photonic filters

Thijs Ullrick (UGent) , Dirk Deschrijver (UGent) , Wim Bogaerts (UGent) and Tom Dhaene (UGent)

(2023) 2023 IEEE 32nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS). In IEEE Conference on Electrical Performance of Electronic Packaging and Systems-EPEPS
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- Conference Paper
- P1
- open access
Modeling S-parameters of interconnects using periodic Gaussian process kernels

Federico Garbuglia (UGent) , Domenico Spina (UGent) , Torsten Reuschel, Christian Schuster, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2023) 2023 IEEE 27th Workshop on Signal and Power Integrity (SPI). In IEEE Workshop on Signal and Power Integrity
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- Journal Article
- A1
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Wideband parametric baseband macromodeling of linear and passive photonic circuits via complex vector fitting

Thijs Ullrick (UGent) , Domenico Spina (UGent) , Wim Bogaerts (UGent) and Tom Dhaene (UGent)

(2023) SCIENTIFIC REPORTS. 13(1).
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A robust multi-objective Bayesian optimization framework considering input uncertainty

Jixiang Qing (UGent) , Ivo Couckuyt (UGent) and Tom Dhaene (UGent)

(2023) JOURNAL OF GLOBAL OPTIMIZATION. 86(3). p.693-711
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- Journal Article
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- open access
Bayesian optimization for microwave devices using deep GP spectral surrogate models

Federico Garbuglia (UGent) , Domenico Spina (UGent) , Dirk Deschrijver (UGent) , Ivo Couckuyt (UGent) and Tom Dhaene (UGent)

(2023) IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. 71(6). p.2311-2318
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- Journal Article
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Cheap-expensive multi-objective Bayesian optimization for permanent magnet synchronous motor design

Nasrulloh Ratu Bagus Satrio Loka (UGent) , Mohamed Ibrahim (UGent) , Ivo Couckuyt (UGent) , Inneke Van Nieuwenhuyse and Tom Dhaene (UGent)

(2023) ENGINEERING WITH COMPUTERS.
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- Journal Article
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Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions

Nasrulloh Ratu Bagus Satrio (UGent) , Ivo Couckuyt (UGent) , Federico Garbuglia (UGent) , Domenico Spina (UGent) , Inneke Van Nieuwenhuyse and Tom Dhaene (UGent)

(2023) ENGINEERING WITH COMPUTERS. 39(3). p.1923-1933
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- Conference Paper
- C1
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{PF}²ES : parallel feasible pareto frontier entropy search for multi-objective Bayesian optimization

Jixiang Qing (UGent) , Henry B. Moss, Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2023) Proceedings of The 26th International Conference on Artificial Intelligence and Statistics. In Proceedings of Machine Learning Research 206. p.2565-2588
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- PhD Thesis
- open access
Bayesian active learning for engineering design and optimization under uncertainty

Jixiang Qing (UGent)

(2023)
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- Conference Paper
- C1
- open access
Comparator model for detecting changes in the ease of breathing of COPD patients

Thomas Kok (UGent) , W. Groenendaal, S. Blanco-Almazan, L. Lijnen, C. Smeets, D. Ruttens, J. Morales, Tom Dhaene (UGent) , Femke Ongenae (UGent) , Sofie Van Hoecke (UGent) , et al.

(2023) KDH@IJCAI 2023 : Knowledge Discovery from Healthcare Data 2023 : proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data. In CEUR workshop proceedings 3479.
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- Conference Paper
- P1
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Cost-aware active learning for feasible region identification

Ioana Nikova (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2023) PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2023 COMPANION. p.2286-2288
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- PhD Thesis
Machine learning with radar sensors for smart healthcare

Geethika Bhavanasi (UGent)

(2023)
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- Journal Article
- A1
- open access
Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction

Lorin Werthen-Brabants (UGent) , Tom Dhaene (UGent) and Dirk Deschrijver (UGent)

(2023) ELECTRONICS LETTERS. 59(18).
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- PhD Thesis
Bayesian active learning for modeling and optimization of microwave devices

Federico Garbuglia (UGent)

(2023)
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- Journal Article
- A1
- open access
Open-set patient activity recognition with radar sensors and deep learning

Geethika Bhavanasi (UGent) , Lorin Werthen-Brabants (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2023) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 20.
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- PhD Thesis
Bayesian optimization for engineering design and process optimization

Nasrulloh Ratu Bagus Satrio Loka (UGent)

(2023)
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- PhD Thesis
Quantifying uncertainty and improving reliability of time-series based deep learning models

Lorin Werthen-Brabants (UGent)

(2023)
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- Journal Article
- A1
- open access
Modeling electrically long interconnects using physics-informed delayed gaussian processes

Federico Garbuglia (UGent) , Torsten Reuschel, Christian Schuster, Dirk Deschrijver (UGent) , Tom Dhaene (UGent) and Domenico Spina (UGent)

(2023) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 65(6). p.1715-1723
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- Journal Article
- A1
Bayesian active learning for radiation pattern sampling over cylindrical surfaces

Federico Garbuglia (UGent) , Tim Claeys, Ivo Couckuyt (UGent) , Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2022) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 64(5). p.1391-1398
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- Conference Paper
- P1
S-parameter modeling and optimization using deep Gaussian processes

Federico Garbuglia (UGent) , Domenico Spina (UGent) , Dirk Deschrijver (UGent) , Ivo Couckuyt (UGent) and Tom Dhaene (UGent)

(2022) 2022 24TH INTERNATIONAL MICROWAVE AND RADAR CONFERENCE (MIKON).
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- Conference Paper
- C3
- open access
Data-efficient feasible region identification for engineering design

Ioana Nikova (UGent) , Ivo Couckuyt (UGent) and Tom Dhaene (UGent)

(2022) Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts.
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- Journal Article
- A1
- open access
Bayesian active learning for received signal strength-based visible light positioning

Federico Garbuglia (UGent) , Willem Raes, Jorik De Bruycker, Nobby Stevens, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2022) IEEE PHOTONICS JOURNAL. 14(6).
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- open access
Adaptive sampling with automatic stopping for feasible region identification in engineering design

Jixiang Qing (UGent) , Nicolas Knudde, Federico Garbuglia (UGent) , Domenico Spina (UGent) , Ivo Couckuyt (UGent) and Tom Dhaene (UGent)

(2022) ENGINEERING WITH COMPUTERS. 38(suppl. 3). p.1955-1972
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- A1
- open access
Uncertainty quantification for appliance recognition in non-intrusive load monitoring using Bayesian deep learning

Lorin Werthen-Brabants (UGent) , Tom Dhaene (UGent) and Dirk Deschrijver (UGent)

(2022) ENERGY AND BUILDINGS. 270.
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- Journal Article
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Towards accurate processing-structure-property links using deep learning

Michiel Larmuseau, Koenraad Theuwissen, Kurt Lejaeghere (UGent) , Lode Duprez, Tom Dhaene (UGent) and Stefaan Cottenier (UGent)

(2022) SCRIPTA MATERIALIA. 211.
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- P1
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Spectral representation of robustness measures for optimization under input uncertainty

Jixiang Qing (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2022) INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 162. In Proceedings of machine learning research
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- Conference Paper
- C1
- open access
Surrogate modelling of dynamic phasor simulations of electrical drives

Nasrulloh Ratu Bagus Satrio (UGent) , Sriram Karthik Gurumurthy, Bernard Amevor, Antonello Monti, Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2022) IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society.
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- Conference Paper
- P1
- open access
Tailoring radar-based patient monitoring models to real-life needs using utility maximization

Louis Vincent-De Sloover, Lorin Werthen-Brabants (UGent) , Geethika Bhavanasi (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2022) 2022 19TH EUROPEAN RADAR CONFERENCE (EURAD). In European Radar Conference EuRAD p.81-84
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- Journal Article
- A1
- open access
A robust Bayesian optimization framework for microwave circuit design under uncertainty

Duygu De Witte (UGent) , Jixiang Qing (UGent) , 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
Split BiRNN for real-time activity recognition using radar and deep learning

Lorin Werthen-Brabants (UGent) , Geethika Bhavanasi (UGent) , Ivo Couckuyt (UGent) , Tom Dhaene (UGent) and Dirk Deschrijver (UGent)

(2022) SCIENTIFIC REPORTS. 12(1).
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Quantifying uncertainty in real time with split BiRNN for radar human activity recognition

Lorin Werthen-Brabants (UGent) , Geethika Bhavanasi (UGent) , Ivo Couckuyt (UGent) , Tom Dhaene (UGent) and Dirk Deschrijver (UGent)

(2022) 2022 19TH EUROPEAN RADAR CONFERENCE (EURAD). In European Radar Conference EuRAD p.173-176
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- Conference Paper
- P1
Finding knees in Bayesian multi-objective optimization

Arash Heidari (UGent) , Jixiang Qing (UGent) , Sebastian Rojas Gonzalez (UGent) , Jürgen Branke, Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2022) PARALLEL PROBLEM SOLVING FROM NATURE - PPSN XVII, PPSN 2022, PT I. In Lecture notes in computer science 13398. p.104-117
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- Conference Paper
- C3
- open access
Multi-objective optimization : which solution do you prefer?

Arash Heidari (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2022) Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts.
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- Journal Article
- A1
Patient activity recognition using radar sensors and machine learning

Geethika Bhavanasi (UGent) , Lorin Werthen-Brabants (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2022) NEURAL COMPUTING & APPLICATIONS. 34(18). p.16033-16048
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SPICE-compatible equivalent circuit models for accurate time-domain simulations of passive photonic integrated circuits

Yinghao Ye, Thijs Ullrick (UGent) , Wim Bogaerts (UGent) , Tom Dhaene (UGent) and Domenico Spina (UGent)

(2022) JOURNAL OF LIGHTWAVE TECHNOLOGY. 40(24). p.7856-7868
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- Book Chapter
Deep learning techniques for digital satellite communications

Federico Garbuglia (UGent) , Tom Dhaene (UGent) and Domenico Spina (UGent)

(2022) Applications of deep learning in electromagnetics : teaching Maxwell's equations to machines. p.313-343
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- Miscellaneous
Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study

Edward De Brouwer, Thijs Becker, Lorin Werthen-Brabants (UGent) , Pieter Dewulf (UGent) , Dimitrios Iliadis (UGent) , Cathérine Dekeyser (UGent) , Guy Laureys (UGent) , Bart Van Wijmeersch, Veronica Popescu, Tom Dhaene (UGent) , et al.

(2022) MedRXiv.
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- Journal Article
- A1
Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity

Quan Lin, Jiexiang Hu, Qi Zhou, Yuansheng Cheng, Zhen Hu, Ivo Couckuyt (UGent) and Tom Dhaene (UGent)

(2021) KNOWLEDGE-BASED SYSTEMS. 227.
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Complex vector fitting toolbox : a software package for the modelling and simulation of general linear and passive baseband systems

Domenico Spina (UGent) , Yinghao Ye, Dirk Deschrijver (UGent) , Wim Bogaerts (UGent) and Tom Dhaene (UGent)

(2021) ELECTRONICS LETTERS. 57(10). p.404-406
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- A1
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Bayesian active learning for multi-objective feasible region identification in microwave devices

Federico Garbuglia (UGent) , Jixiang Qing (UGent) , Nicolas Knudde, Domenico Spina (UGent) , Ivo Couckuyt (UGent) , Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2021) ELECTRONICS LETTERS. 57(10). p.400-403
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- PhD Thesis
Machine learning for microstructure analysis of steel

Michiel Larmuseau

(2021)
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- Book Chapter
Chapter 10 : Mixed epistemic-aleatory uncertainty using a new polynomial chaos formulation combined with machine learning

Domenico Spina (UGent) , Tom Dhaene (UGent) and Flavia Grassi

(2021) Uncertainty quantification of electromagnetic devices, circuits, and systems. p.243-262
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- Journal Article
- A1
Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification

Roberto Medico, Joeri Ruyssinck (UGent) , Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2021) ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. 15(4). p.911-936
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- Journal Article
- A1
Race against the machine : can deep learning recognize microstructures as well as the trained human eye?

Michiel Larmuseau, Michael Sluydts (UGent) , Koenraad Theuwissen, Lode Duprez, Tom Dhaene (UGent) and Stefaan Cottenier (UGent)

(2021) SCRIPTA MATERIALIA. 193. p.33-37
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- Conference Paper
- P1
- open access
Machine learning-based characterization of SNR in digital satellite communication links

Brecht Dhuyvetters, Daniel Delaruelle, Hendrik Rogier (UGent) , Tom Dhaene (UGent) , Dries Vande Ginste (UGent) and Domenico Spina (UGent)

(2021) 2021 15TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP). In Proceedings of the European Conference on Antennas and Propagation
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- Conference Paper
- C1
- open access
Sensor fusion using backward shortcut connections for sleep apnea detection in multi-modal data

Tom Van Steenkiste, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2020) PROCEEDINGS OF MACHINE LEARNING RESEARCH. 116. p.112-125
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- C1
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Interpretable epilepsy detection in routine, interictal EEG data using deep learning

Thomas Uyttenhove, Aren Maes, Tom Van Steenkiste, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2020) PROCEEDINGS OF MACHINE LEARNING RESEARCH. 136. p.355-366

Data-driven surrogate modeling for the flammability reduction system

Multi-objective constrained robust design of a metamaterial vibration isolator with a limited budget

Surrogate-Assisted Evolutionary Algorithm for the Calibration of Distributed Hydrological Models Based on Two-Dimensional Shallow Water Equations

Wideband complex vector fitting for modeling time delay variations in passive photonic filters

Modeling S-parameters of interconnects using periodic Gaussian process kernels

Wideband parametric baseband macromodeling of linear and passive photonic circuits via complex vector fitting

A robust multi-objective Bayesian optimization framework considering input uncertainty

Bayesian optimization for microwave devices using deep GP spectral surrogate models

Cheap-expensive multi-objective Bayesian optimization for permanent magnet synchronous motor design

Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions

{PF}²ES : parallel feasible pareto frontier entropy search for multi-objective Bayesian optimization

Bayesian active learning for engineering design and optimization under uncertainty

Comparator model for detecting changes in the ease of breathing of COPD patients

Cost-aware active learning for feasible region identification

Machine learning with radar sensors for smart healthcare

Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction

Bayesian active learning for modeling and optimization of microwave devices

Open-set patient activity recognition with radar sensors and deep learning

Bayesian optimization for engineering design and process optimization

Quantifying uncertainty and improving reliability of time-series based deep learning models

Modeling electrically long interconnects using physics-informed delayed gaussian processes

Bayesian active learning for radiation pattern sampling over cylindrical surfaces

S-parameter modeling and optimization using deep Gaussian processes

Data-efficient feasible region identification for engineering design

Bayesian active learning for received signal strength-based visible light positioning

Adaptive sampling with automatic stopping for feasible region identification in engineering design

Uncertainty quantification for appliance recognition in non-intrusive load monitoring using Bayesian deep learning

Towards accurate processing-structure-property links using deep learning

Spectral representation of robustness measures for optimization under input uncertainty

Surrogate modelling of dynamic phasor simulations of electrical drives

Tailoring radar-based patient monitoring models to real-life needs using utility maximization

A robust Bayesian optimization framework for microwave circuit design under uncertainty

Split BiRNN for real-time activity recognition using radar and deep learning

Quantifying uncertainty in real time with split BiRNN for radar human activity recognition

Finding knees in Bayesian multi-objective optimization

Multi-objective optimization : which solution do you prefer?

Patient activity recognition using radar sensors and machine learning

SPICE-compatible equivalent circuit models for accurate time-domain simulations of passive photonic integrated circuits

Deep learning techniques for digital satellite communications

Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study

Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity

Complex vector fitting toolbox : a software package for the modelling and simulation of general linear and passive baseband systems

Bayesian active learning for multi-objective feasible region identification in microwave devices

Machine learning for microstructure analysis of steel

Chapter 10 : Mixed epistemic-aleatory uncertainty using a new polynomial chaos formulation combined with machine learning

Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification

Race against the machine : can deep learning recognize microstructures as well as the trained human eye?

Machine learning-based characterization of SNR in digital satellite communication links

Sensor fusion using backward shortcut connections for sleep apnea detection in multi-modal data

Interpretable epilepsy detection in routine, interictal EEG data using deep learning