| Machine learning and uncertainty quantification for surrogate models of integrated devices with a large number of parameters R Trinchero, M Larbi, HM Torun, FG Canavero, M Swaminathan IEEE Access 7, 4056-4066, 2018 | 108 | 2018 |
| Machine learning for the performance assessment of high-speed links R Trinchero, P Manfredi, IS Stievano, FG Canavero IEEE Transactions on Electromagnetic Compatibility 60 (6), 1627-1634, 2018 | 72 | 2018 |
| TRIMAGE: A dedicated trimodality (PET/MR/EEG) imaging tool for schizophrenia A Del Guerra, S Ahmad, M Avram, N Belcari, A Berneking, L Biagi, ... European Psychiatry, 0 | 57 | |
| Behavioral, parameterized, and broadband modeling of wired interconnects with internal discontinuities S Grivet-Talocia, R Trinchero IEEE Transactions on Electromagnetic Compatibility 60 (1), 77-85, 2017 | 47 | 2017 |
| A data compression strategy for the efficient uncertainty quantification of time-domain circuit responses P Manfredi, R Trinchero IEEE Access 8, 92019-92027, 2020 | 35 | 2020 |
| Modeling of eye diagram height in high-speed links via support vector machine R Trinchero, FG Canavero 2018 IEEE 22nd Workshop on Signal and Power Integrity (SPI), 1-4, 2018 | 35 | 2018 |
| How affine arithmetic helps beat uncertainties in electrical systems T Ding, R Trinchero, P Manfredi, IS Stievano, FG Canavero IEEE Circuits and Systems Magazine 15 (4), 70-79, 2015 | 30 | 2015 |
| Steady-state analysis of switching power converters via augmented time-invariant equivalents R Trinchero, IS Stievano, FG Canavero IEEE Transactions on Power Electronics 29 (11), 5657-5661, 2014 | 30 | 2014 |
| Steady-State Analysis of Switching Converters via Frequency-Domain Circuit Equivalents R Trinchero, P Manfredi, I Stievano, F Canavero IEEE Transactions on Circuits and Systems II: Express Briefs, 0 | 30* | |
| A probabilistic machine learning approach for the uncertainty quantification of electronic circuits based on gaussian process regression P Manfredi, R Trinchero IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 29 | 2021 |
| An iterative scheme for the power-flow analysis of distribution networks based on decoupled circuit equivalents in the phasor domain ZA Memon, R Trinchero, Y Xie, FG Canavero, IS Stievano Energies 13 (2), 386, 2020 | 27 | 2020 |
| Compressed machine learning-based inverse model for design optimization of microwave components M Sedaghat, R Trinchero, ZH Firouzeh, FG Canavero IEEE Transactions on Microwave Theory and Techniques 70 (7), 3415-3427, 2022 | 25 | 2022 |
| An automatic tool for partial discharge de-noising via short-time Fourier transform and matrix factorization Y Yan, R Trinchero, IS Stievano, H Li, YZ Xie IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 24 | 2022 |
| Machine learning regression techniques for the modeling of complex systems: An overview R Trinchero, F Canavero IEEE Electromagnetic Compatibility Magazine 10 (4), 71-79, 2021 | 22 | 2021 |
| Analysis of parameter variability in an integrated wireless power transfer system via partial least-squares regression M Larbi, R Trinchero, FG Canavero, P Besnier, M Swaminathan IEEE Transactions on Components, Packaging and Manufacturing Technology 10 …, 2020 | 22 | 2020 |
| Combining LS-SVM and GP regression for the uncertainty quantification of the EMI of power converters affected by several uncertain parameters R Trinchero, FG Canavero IEEE Transactions on Electromagnetic Compatibility 62 (5), 1755-1762, 2020 | 21 | 2020 |
| Compressed complex-valued least squares support vector machine regression for modeling of the frequency-domain responses of electromagnetic structures N Soleimani, R Trinchero Electronics 11 (4), 551, 2022 | 20 | 2022 |
| Combined parametric and worst case circuit analysis via Taylor models R Trinchero, P Manfredi, T Ding, IS Stievano IEEE Transactions on Circuits and Systems I: Regular Papers 63 (7), 1067-1078, 2016 | 20 | 2016 |
| EMI prediction of switching converters R Trinchero, IS Stievano, FG Canavero IEEE Transactions on Electromagnetic Compatibility 57 (5), 1270-1273, 2015 | 20 | 2015 |
| Comparative analysis of prior knowledge-based machine learning metamodels for modeling hybrid copper–graphene on-chip interconnects S Kushwaha, N Soleimani, F Treviso, R Kumar, R Trinchero, ... IEEE Transactions on Electromagnetic Compatibility 64 (6), 2249-2260, 2022 | 19 | 2022 |
Flavio CanaveroPolitecnico di TorinoEmail verificata su polito.it