Browsing by author "De Ridder, Simon"
Now showing items 1-11 of 11
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A Bayesian approach to adaptive frequency sampling
De Ridder, Simon; Deschrijver, Dirk; Spina, Domenico; Dhaene, Tom; Vande Ginste, Dries (2019) -
A generative modeling framework for statistical link analysis based on sparse data
De Ridder, Simon; Manfredi, Paolo; De Geest, Jan; Deschrijver, Dirk; De Zutter, Daniel; Dhaene, Tom; Vande Ginste, Dries (2018-01) -
A Machine Learning-Based Epistemic Modeling Framework for EMC and SI Assessment
Kan, Duygu; De Ridder, Simon; Spina, Domenico; Dhaene, Tom; Rogier, Hendrik; Vande Ginste, Dries; Grassi, Flavia (2020) -
A machine-learning-based epistemic modelling framework for textile antenna design
Kan, Duygu; Spina, Domenico; De Ridder, Simon; Grassi, F.; Rogier, Hendrik; Vande Ginste, Dries (2019-11) -
A novel generative stochastic model for high-speed interconnection links
De Ridder, Simon; Manfredi, Paolo; De Geest, Jan; Dhaene, Tom; De Zutter, Daniel; Vande Ginste, Dries (2017) -
Adaptive frequency sampling using linear Bayesian vector fitting
De Ridder, Simon; Deschrijver, Dirk; Spina, Domenico; Dhaene, Tom; Vande Ginste, Dries (2019-01) -
Generation of stochastic interconnect responses via Gaussian process latent variable models
De Ridder, Simon; Deschrijver, Dirk; Manfredi, Paolo; Dhaene, Tom; Vande Ginste, Dries (2019-04) -
Machine learning-based hybrid random-fuzzy modeling framework for antenna design
Kan, Duygu; De Ridder, Simon; Spina, Domenico; Couckuyt, Ivo; Grassi, F.; Dhaene, Tom; Rogier, Hendrik; Vande Ginste, Dries (2020) -
Machine-Learning-Based Hybrid Random-Fuzzy Uncertainty Quantification for EMC and SI Assessment
De Ridder, Simon; Spina, Domenico; Toscani, Nicola; Grassi, Flavia; Vande Ginste, Dries; Dhaene, Tom (2020) -
Onzekerheidskwantificatie van passieve microgolfstructuren op basis van machinaal leren
De Ridder, Simon (2019) -
Statistical modeling of frequency responses using linear Bayesian Vector Fitting
De Ridder, Simon; Deschrijver, Dirk; Spina, Domenico; Vande Ginste, Dries; Dhaene, Tom (2020-06)