Simon De Ridder

Conference Paper
C1
open access

A polynomial chaos stochastic model for 2D breast microwave scattering

Ann Franchois (UGent) , Karel van der Steen, Simon De Ridder, Michiel Gossye, Martijn Huynen (UGent) and Hendrik Rogier (UGent)

(2023) 2023 IEEE Conference on Antenna Measurements and Applications (CAMA). p.570-575

Add to list

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

Add to list

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

Add to list

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

Duygu De Witte, 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

Add to list

Journal Article
A1
open access

Statistical modeling of frequency responses using linear Bayesian vector fitting

Simon De Ridder, Dirk Deschrijver (UGent) , Domenico Spina (UGent) , Dries Vande Ginste (UGent) and Tom Dhaene (UGent)

(2020) INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS. 33(6).

Add to list

A machine-learning-based epistemic modeling framework for textile antenna design

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

(2019) IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS. 18(11). p.2292-2296

Add to list

PhD Thesis
open access

Machine learning based uncertainty quantification of passive microwave structures

Simon De Ridder

(2019)

Add to list

Conference Paper
P1
open access

A Bayesian approach to adaptive frequency sampling

Simon De Ridder, Dirk Deschrijver (UGent) , Domenico Spina (UGent) , Tom Dhaene (UGent) and Dries Vande Ginste (UGent)

(2019) 2019 23RD IEEE WORKSHOP ON SIGNAL AND POWER INTEGRITY (SPI 2019). In IEEE Workshop on Signal and Power Integrity

Add to list

Journal Article
A1
open access

Generation of stochastic interconnect responses via gaussian process latent variable models

Simon De Ridder, Dirk Deschrijver (UGent) , Paolo Manfredi (UGent) , Tom Dhaene (UGent) and Dries Vande Ginste (UGent)

(2019) IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY. 61(2). p.582-585

Add to list

Journal Article
A1
open access

Adaptive frequency sampling using linear Bayesian vector fitting

Simon De Ridder, Dirk Deschrijver (UGent) , Domenico Spina (UGent) , Tom Dhaene (UGent) and Dries Vande Ginste (UGent)

(2019) ELECTRONICS LETTERS. 55(2). p.74-76

Academic Bibliography

Simon De Ridder

A polynomial chaos stochastic model for 2D breast microwave scattering

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

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

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

Statistical modeling of frequency responses using linear Bayesian vector fitting

A machine-learning-based epistemic modeling framework for textile antenna design

Machine learning based uncertainty quantification of passive microwave structures

A Bayesian approach to adaptive frequency sampling

Generation of stochastic interconnect responses via gaussian process latent variable models

Adaptive frequency sampling using linear Bayesian vector fitting

Contents

Support

Contact