| Review of polynomial chaos-based methods for uncertainty quantification in modern integrated circuits A Kaintura, T Dhaene, D Spina Electronics 7 (3), 30, 2018 | 141 | 2018 |
| Variability analysis of multiport systems via polynomial-chaos expansion D Spina, F Ferranti, T Dhaene, L Knockaert, G Antonini, DV Ginste IEEE Transactions on Microwave Theory and Techniques 60 (8), 2329-2338, 2012 | 106 | 2012 |
| Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks J Van Gompel, D Spina, C Develder Applied Energy 305, 117874, 2022 | 63 | 2022 |
| Efficient variability analysis of electromagnetic systems via polynomial chaos and model order reduction D Spina, F Ferranti, G Antonini, T Dhaene, L Knockaert IEEE Transactions on Components, Packaging and Manufacturing Technology 4 (6 …, 2014 | 60 | 2014 |
| Measurement uncertainty propagation in transistor model parameters via polynomial chaos expansion A Petrocchi, A Kaintura, G Avolio, D Spina, T Dhaene, A Raffo, ... IEEE Microwave and Wireless Components Letters 27 (6), 572-574, 2017 | 56 | 2017 |
| Stochastic collocation for device-level variability analysis in integrated photonics Y Xing, D Spina, A Li, T Dhaene, W Bogaerts Photonics Research 4 (2), 93-100, 2016 | 34 | 2016 |
| Stochastic macromodeling of nonlinear systems via polynomial chaos expansion and transfer function trajectories D Spina, D De Jonghe, D Deschrijver, G Gielen, L Knockaert, T Dhaene IEEE transactions on microwave theory and techniques 62 (7), 1454-1460, 2014 | 31 | 2014 |
| Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks J Van Gompel, D Spina, C Develder Energy 266, 126444, 2023 | 30 | 2023 |
| Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions N Loka, I Couckuyt, F Garbuglia, D Spina, I Van Nieuwenhuyse, ... Engineering with Computers 39 (3), 1923-1933, 2023 | 29 | 2023 |
| Machine-learning-based error detection and design optimization in signal integrity applications R Medico, D Spina, DV Ginste, D Deschrijver, T Dhaene IEEE Transactions on Components, Packaging and Manufacturing Technology 9 (9 …, 2019 | 29 | 2019 |
| A comprehensive and modular stochastic modeling framework for the variability-aware assessment of signal integrity in high-speed links Y Ye, D Spina, P Manfredi, DV Ginste, T Dhaene IEEE Transactions on Electromagnetic Compatibility 60 (2), 459-467, 2017 | 28 | 2017 |
| Numerical modeling of a linear photonic system for accurate and efficient time-domain simulations Y Ye, D Spina, Y Xing, W Bogaerts, T Dhaene Photonics Research 6 (6), 560-573, 2018 | 27 | 2018 |
| Data-efficient Bayesian optimization with constraints for power amplifier design N Knudde, I Couckuyt, D Spina, K Łukasik, P Barmuta, D Schreurs, ... 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and …, 2018 | 25 | 2018 |
| A machine-learning-based epistemic modeling framework for textile antenna design D Kan, D Spina, S De Ridder, F Grassi, H Rogier, DV Ginste IEEE Antennas and Wireless Propagation Letters 18 (11), 2292-2296, 2019 | 23 | 2019 |
| Non intrusive polynomial chaos-based stochastic macromodeling of multiport systems D Spina, F Ferranti, G Antonini, T Dhaene, L Knockaert 2014 IEEE 18th Workshop on Signal and Power Integrity (SPI), 1-4, 2014 | 23 | 2014 |
| Polynomial chaos-based macromodeling of general linear multiport systems for time-domain analysis D Spina, T Dhaene, L Knockaert, G Antonini IEEE Transactions on Microwave Theory and Techniques 65 (5), 1422-1433, 2017 | 21 | 2017 |
| Machine-learning-based hybrid random-fuzzy uncertainty quantification for EMC and SI assessment S De Ridder, D Spina, N Toscani, F Grassi, DV Ginste, T Dhaene IEEE Transactions on Electromagnetic Compatibility 62 (6), 2538-2546, 2020 | 20 | 2020 |
| Polynomial chaos‐based macromodeling of multiport systems using an input–output approach D Spina, F Ferranti, T Dhaene, L Knockaert, G Antonini International Journal of Numerical Modelling: Electronic Networks, Devices …, 2015 | 18 | 2015 |
| Time-domain compact macromodeling of linear photonic circuits via complex vector fitting Y Ye, D Spina, D Deschrijver, W Bogaerts, T Dhaene Photonics Research 7 (7), 771-782, 2019 | 17 | 2019 |
| Machine learning based error detection in transient susceptibility tests R Medico, N Lambrecht, H Pues, DV Ginste, D Deschrijver, T Dhaene, ... IEEE Transactions on Electromagnetic Compatibility 61 (2), 352-360, 2018 | 17 | 2018 |
Tom DhaeneGhent University - imecVerified email at ugent.be
