Ghent University Academic Bibliography

Bayesian tuned kinetic Monte Carlo modeling of polystyrene pyrolysis : unraveling the pathways to its monomer, dimers, and trimers formation

Onur Dogu (UGent) , Andreas Eschenbacher (UGent) , Robin John Varghese (UGent) , Maarten Dobbelaere (UGent) , Dagmar D'hooge (UGent) , Paul Van Steenberge (UGent) and Kevin Van Geem (UGent)

(2023) CHEMICAL ENGINEERING JOURNAL. 455.

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Journal Article
A1
open access

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.

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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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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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A1
open access

Design optimization-under-uncertainty of a forward swept wing unmanned aerial vehicle using SAMURAI

Jolan Wauters (UGent)

(2022) INTERNATIONAL JOURNAL OF MICRO AIR VEHICLES. 14.

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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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Comparative study of co-design strategies for mission-specific design of quadcopters using differential flatness and Bayesian optimization

Jolan Wauters (UGent) , Tom Lefebvre (UGent) and Guillaume Crevecoeur (UGent)

(2022) 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). p.703-709

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Journal Article
A1
open access

Machine-learning-based hybrid random-fuzzy uncertainty quantification for EMC and SI assessment

Simon De Ridder, Domenico Spina (UGent) , Nicola Toscani, Flavia Grassi, Dries Vande Ginste (UGent) and Tom Dhaene (UGent)

(2020) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 62(6). p.2538-2546

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Machine learning-based hybrid random-fuzzy modeling framework for antenna design

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

(2020) 2020 14th European Conference on Antennas and Propagation (EuCAP). In Proceedings of the European Conference on Antennas and Propagation

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

Duygu De Witte (UGent) , 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

Academic Bibliography

Bayesian tuned kinetic Monte Carlo modeling of polystyrene pyrolysis : unraveling the pathways to its monomer, dimers, and trimers formation

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

A robust Bayesian optimization framework for microwave circuit design under uncertainty

Finding knees in Bayesian multi-objective optimization

Design optimization-under-uncertainty of a forward swept wing unmanned aerial vehicle using SAMURAI

S-parameter modeling and optimization using deep Gaussian processes

Comparative study of co-design strategies for mission-specific design of quadcopters using differential flatness and Bayesian optimization

Machine-learning-based hybrid random-fuzzy uncertainty quantification for EMC and SI assessment

Machine learning-based hybrid random-fuzzy modeling framework for antenna design

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

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