Manage settings
MENU
About this site
In het Nederlands
Home
Researchers
Projects
Organisations
Publications
Infrastructure
Contact
Research Explorer
Your browser does not support JavaScript or JavaScript is not enabled. Without JavaScript some functions of this webapplication may be disabled or cause error messages. To enable JavaScript, please consult the manual of your browser or contact your system administrator.
Researcher
Simon De Ridder
Profile
Projects
Publications
Activities
Awards & Distinctions
14
Results
2023
A polynomial chaos stochastic model for 2D breast microwave scattering
Ann Franchois
Karel van der Steen
Simon De Ridder
Michiel Gossye
Martijn Huynen
Hendrik Rogier
C1
Conference
2023
2020
A machine learning-based epistemic modeling framework for EMC and SI assessment
Duygu De Witte
Simon De Ridder
Domenico Spina
Tom Dhaene
Hendrik Rogier
Dries Vande Ginste
Flavia Grassi
P1
Conference
2020
Machine learning-based hybrid random-fuzzy modeling framework for antenna design
Duygu De Witte
Simon De Ridder
Domenico Spina
Ivo Couckuyt
Flavia Grassi
Tom Dhaene
Hendrik Rogier
Dries Vande Ginste
P1
Conference
2020
Machine-learning-based hybrid random-fuzzy uncertainty quantification for EMC and SI assessment
Simon De Ridder
Domenico Spina
Nicola Toscani
Flavia Grassi
Dries Vande Ginste
Tom Dhaene
A1
Journal Article
in
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
2020
Statistical modeling of frequency responses using linear Bayesian vector fitting
Simon De Ridder
Dirk Deschrijver
Domenico Spina
Dries Vande Ginste
Tom Dhaene
A1
Journal Article
in
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
2020
2019
A Bayesian approach to adaptive frequency sampling
Simon De Ridder
Dirk Deschrijver
Domenico Spina
Tom Dhaene
Dries Vande Ginste
P1
Conference
2019
A machine-learning-based epistemic modeling framework for textile antenna design
Duygu De Witte
Domenico Spina
Simon De Ridder
Flavia Grassi
Hendrik Rogier
Dries Vande Ginste
A1
Journal Article
in
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
2019
Adaptive frequency sampling using linear Bayesian vector fitting
Simon De Ridder
Dirk Deschrijver
Domenico Spina
Tom Dhaene
Dries Vande Ginste
A1
Journal Article
in
ELECTRONICS LETTERS
2019
Generation of stochastic interconnect responses via gaussian process latent variable models
Simon De Ridder
Dirk Deschrijver
Paolo Manfredi
Tom Dhaene
Dries Vande Ginste
A1
Journal Article
in
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
2019
Machine learning based uncertainty quantification of passive microwave structures
Simon De Ridder
Dries Vande Ginste
Tom Dhaene
Dissertation
2019
2018
A generative modeling framework for statistical link analysis based on sparse data
Simon De Ridder
Paolo Manfredi
Jan De Geest
Dirk Deschrijver
Daniël De Zutter
Tom Dhaene
Dries Vande Ginste
A1
Journal Article
in
IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY
2018
2017
A novel generative stochastic model for high-speed interconnection links
Simon De Ridder
Paolo Manfredi
Jan De Geest
Tom Dhaene
Daniël De Zutter
Dries Vande Ginste
C1
Conference
2017
2016
A novel methodology to create generative statistical models of interconnects
Simon De Ridder
Paolo Manfredi
Jan De Geest
Tom Dhaene
Daniël De Zutter
Dries Vande Ginste
P1
Conference
2016
Detection and localization of change points in temporal networks with the aid of stochastic block models
Simon De Ridder
Benjamin Vandermarliere
Jan Ryckebusch
A1
Journal Article
in
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
2016