D. Spina

发表

A novel permanent gauge-cam station for surface-flow observations on the Tiber River

Andrea Petroselli, Maurizio Porfiri, Domenico Spina, 2016 .

Time-domain compact macromodeling of linear photonic circuits via complex vector fitting

Tom Dhaene, Dirk Deschrijver, Wim Bogaerts, 2019, Photonics Research.

A Robust Bayesian Optimization Framework for Microwave Circuit Design under Uncertainty

I. Couckuyt, T. Dhaene, D. Vande Ginste, 2022, Electronics.

A Machine Learning-Based Epistemic Modeling Framework for EMC and SI Assessment

Hendrik Rogier, Tom Dhaene, Duygu Kan, 2020, 2020 IEEE 24th Workshop on Signal and Power Integrity (SPI).

A Machine-Learning-Based Epistemic Modeling Framework for Textile Antenna Design

Hendrik Rogier, Duygu Kan, Domenico Spina, 2019, IEEE Antennas and Wireless Propagation Letters.

Machine-Learning-Based Hybrid Random-Fuzzy Uncertainty Quantification for EMC and SI Assessment

Tom Dhaene, Domenico Spina, Flavia Grassi, 2020, IEEE Transactions on Electromagnetic Compatibility.

Data-Efficient Bayesian Optimization with Constraints for Power Amplifier Design

Tom Dhaene, Ivo Couckuyt, Dominique Schreurs, 2018, 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO).

A Kriging and Stochastic Collocation ensemble for uncertainty quantification in engineering applications

Tom Dhaene, Ivo Couckuyt, Wim Bogaerts, 2017, Engineering with Computers.

Machine-Learning-Based Error Detection and Design Optimization in Signal Integrity Applications

Tom Dhaene, Dirk Deschrijver, Dries Vande Ginste, 2019, IEEE Transactions on Components, Packaging and Manufacturing Technology.

Efficient Variability Analysis of Electromagnetic Systems Via Polynomial Chaos and Model Order Reduction

Tom Dhaene, Giulio Antonini, Francesco Ferranti, 2014, IEEE Transactions on Components, Packaging and Manufacturing Technology.

Adaptive sampling with automatic stopping for feasible region identification in engineering design

Tom Dhaene, Ivo Couckuyt, Federico Garbuglia, 2021, Engineering with Computers.

Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks

Chris Develder, Domenico Spina, Jonas Van Gompel, 2022, Applied Energy.

Measurement Uncertainty Propagation in Transistor Model Parameters via Polynomial Chaos Expansion

Tom Dhaene, Antonio Raffo, Gustavo Avolio, 2017, IEEE Microwave and Wireless Components Letters.

Stochastic collocation for device-level variability analysis in integrated photonics

Tom Dhaene, Wim Bogaerts, Domenico Spina, 2016 .

Numerical modeling of a linear photonic system for accurate and efficient time-domain simulations

Tom Dhaene, Wim Bogaerts, Domenico Spina, 2018 .

Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits

Tom Dhaene, Domenico Spina, Arun Kaintura, 2018 .

FIELD MEASUREMENTS OF LOADS ACTING ON SMOOTH AND PERFORATED VERTICAL WALLS

P. Girolamo, D. Spina, A. Noli, 1996 .

Evaluation of Generative Modeling Techniques for Frequency Responses

Tom Dhaene, Dirk Deschrijver, Federico Garbuglia, 2020, Proceedings of 1st International Electronic Conference - Futuristic Applications on Electronics.

Temporal convolutional networks for fault diagnosis of photovoltaic systems using satellite and inverter measurements

Chris Develder, Domenico Spina, Jonas Van Gompel, 2021, BuildSys@SenSys.

Time-Domain Characterization of Photonic Integrated Filters Subject to Fabrication Variations

Tom Dhaene, Wim Bogaerts, Domenico Spina, 2019, Journal of Lightwave Technology.

Stochastic macromodeling for efficient and accurate variability analysis of modern high-speed circuits

Domenico Spina, D. Spina, 2014 .

Machine Learning Based Error Detection in Transient Susceptibility Tests

Tom Dhaene, Dirk Deschrijver, Dries Vande Ginste, 2019, IEEE Transactions on Electromagnetic Compatibility.

Bayesian active learning for electromagnetic structure design

Tom Dhaene, Ivo Couckuyt, Domenico Spina, 2020, 2020 14th European Conference on Antennas and Propagation (EuCAP).

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

I. Couckuyt, T. Dhaene, I. Van Nieuwenhuyse, 2022, Engineering with Computers.

A Bayesian Approach to Adaptive Frequency Sampling

Tom Dhaene, Dirk Deschrijver, Dries Vande Ginste, 2019, 2019 IEEE 23rd Workshop on Signal and Power Integrity (SPI).

Wideband parametric baseband macromodeling of linear and passive photonic circuits via complex vector fitting

D. Spina, Thijs Ullrick, W. Bogaerts, 2023, Scientific Reports.

SPICE-Compatible Equivalent Circuit Models for Accurate Time-Domain Simulations of Passive Photonic Integrated Circuits

T. Dhaene, W. Bogaerts, D. Spina, 2022, Journal of Lightwave Technology.

Complex vector fitting toolbox: a software package for the modelling and simulation of general linear and passive baseband systems

Tom Dhaene, Dirk Deschrijver, Wim Bogaerts, 2021, Electronics Letters.

Baseband Macromodeling of Linear Photonic Circuits for Time-Domain Simulations

Tom Dhaene, Wim Bogaerts, Domenico Spina, 2019, Journal of Lightwave Technology.

Parametric macromodeling of integrated inductors for RF circuit design

Fábio Moreira de Passos, T. Dhaene, F. Fernández, 2014 .

Electric vehicle use in public fleets: The case of the Genoa University

Stefano Bracco, Federico Delfino, Tom Dhaene, 2017, 2017 International Conference on ENERGY and ENVIRONMENT (CIEM).

Autoencoding Density-Based Anomaly Detection for Signal Integrity Applications

Tom Dhaene, Dirk Deschrijver, Domenico Spina, 2018, 2018 IEEE 27th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS).

Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks

Chris Develder, D. Spina, Jonas Van Gompel, 2022, Energy.

Variability Analysis of Multiport Systems Via Polynomial-Chaos Expansion

T. Dhaene, Dries Vande Ginste, L. Knockaert, 2012, IEEE Transactions on Microwave Theory and Techniques.