Archivio Istituzionale della RicercaTRINCHERO, RICCARDO
TRINCHERO, RICCARDO
Dipartimento di Elettronica e Telecomunicazioni
029126
A Multi-Output Active Learning Method for the Uncertainty Quantification of PCB Lines
2025 Cusano, Michele; Trinchero, Riccardo; Stievano, Igor S.; Grivet-Talocia, Stefano; Manfredi, Paolo; Schatt, Stefanie
Introduction of Digital Twins in the Longitudinal Train Dynamics Simulation of Freight Train Air Brake Operations
2025 Bosso, N.; Cantone, L.; Gugliotta, A.; Magelli, M.; Trinchero, R.; Zampieri, N.
Kernel-Based Machine Learning Surrogates for RF Circulator Design
2025 Atlante, Marco; Trinchero, Riccardo; Stievano, Igor S.; Telescu, Mihai; Parker, Norbert; Laur, Vincent; Tanguy, Noël
SPICE-Based Behavioral Models of IC Buffers via Compact Kernel Regressions
2025 Atlante, Marco; Trinchero, Riccardo; Stievano, Igor S.; Telescu, Mihai; Tanguy, Noël
Unit Cell Design for Space-Fed Surfaces Via Kernel-Based Machine Learning Regression
2025 Beccaria, M.; Soleimani, N.; Trinchero, R.; Pirinoli, P.
A Hybrid Polynomial Chaos Expansion and Gaussian Process Regression Method for Forward Uncertainty Quantification of Integrated Circuits
2024 Manfredi, Paolo; Trinchero, Riccardo
Compressed SPICE-Compliant IC Models via Machine Learning Kernel Regression
2024 Atlante, Marco; Trinchero, Riccardo; Bradde, Tommaso; Manfredi, Paolo; Stievano, Igor S.
Efficient Parametric Assessment of Worst-Case Voltage Droop in Power Delivery Networks
2024 Bradde, Tommaso; Carlucci, Antonio; Trinchero, Riccardo; Manfredi, Paolo; Grivet-Talocia, Stefano
Modeling of IC Buffers from Channel Responses Via Machine Learning Kernel Regression
2024 Trinchero, Riccardo; Bradde, Tommaso; Telescu, Mihai; Stievano, Igor S.
Uncertainty Quantification and Sensitivity Analysis of Crosstalk in PCB Lines via the Combination of Machine Learning and Polynomial Chaos Expansion
2024 Manfredi, Paolo; Trinchero, Riccardo
Vector-Valued Kernel Ridge Regression for the Modeling of the Scattering Parameters of a Slotted Ground PCB Structure
2024 Soleimani, Nastaran; Bradde, Tommaso; Manfredi, Paolo; Stievano, Igor; Trinchero, Riccardo
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Parametric Modeling of the Frequency-Response of a High-Speed Link
2023 Soleimani, Nastaran; Trinchero, Riccardo
Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Uncertainty Quantification of the Scattering Parameters of a 2-GHz Low-Noise Amplifier
2023 Soleimani, Nastaran; Manfredi, Paolo; Trinchero, Riccardo
Modeling of a High-Speed Link Based on an Efficient Implementation of Vector-Valued Machine Learning Kernel Regression
2023 Soleimani, Nastaran; Trinchero, Riccardo; Canavero, Flavio
Surrogate Eye Modeling for the Statistical Assessment of a Smart Textile Interconnect
2023 Telescu, Mihai; Trinchero, Riccardo; Tanguy, Noel; Stievano, Igor S.
A probabilistic Gaussian process regression approach to uncertainty quantification in electromagnetic compatibility investigations
2022 Manfredi, Paolo; Trinchero, Riccardo
Machine Learning-Based Uncertainty Quantification of Passive Intermodulation in Aluminum Contact
2022 Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G.
Vector Fitting of Noisy Frequency Responses via Smoothing Regularization
2022 Carlucci, A.; Zanco, A.; Trinchero, R.; Grivet-Talocia, S.
Vector-Valued Kernel Ridge Regression for the Modeling of High-Speed Links
2022 Soleimani, Nastaran; Trinchero, Riccardo; Canavero, Flavio
Worst-Case Optimization of a Digital Link for Wearable Electronics in a Stochastic Framework
2022 Telescu, M.; Trinchero, R.; Stievano, I. S.; Tanguy, N.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A Multi-Output Active Learning Method for the Uncertainty Quantification of PCB Lines / Cusano, Michele; Trinchero, Riccardo; Stievano, Igor S.; Grivet-Talocia, Stefano; Manfredi, Paolo; Schatt, Stefanie. - (2025), pp. 1-3. ( 2025 IEEE 29th Workshop on Signal and Power Integrity (SPI) Gaeta (Ita) 11-14 May 2025) [10.1109/spi64682.2025.11014393]. | 1-gen-2025 | Cusano, MicheleTrinchero, RiccardoStievano, Igor S.Grivet-Talocia, StefanoManfredi, Paolo + | cnf-2025-spi-GP-author.pdf; cnf-2025-spi-GP-ieee.pdf |
| Introduction of Digital Twins in the Longitudinal Train Dynamics Simulation of Freight Train Air Brake Operations / Bosso, N.; Cantone, L.; Gugliotta, A.; Magelli, M.; Trinchero, R.; Zampieri, N.. - (2025), pp. 297-306. ( 28th IAVSD Symposium on Dynamics of Vehicles on Roads and Tracks, IAVSD 2023 Ottawa (Canada) 2023) [10.1007/978-3-031-66971-2_32]. | 1-gen-2025 | Bosso N.Cantone L.Gugliotta A.Magelli M.Trinchero R.Zampieri N. | Extracted_paper_IAVSD_2023.pdf |
| Kernel-Based Machine Learning Surrogates for RF Circulator Design / Atlante, Marco; Trinchero, Riccardo; Stievano, Igor S.; Telescu, Mihai; Parker, Norbert; Laur, Vincent; Tanguy, Noël. - ELETTRONICO. - (2025), pp. 1-3. ( 2025 Asia-Pacific Microwave Conference (APMC) Jeju (Kor) 02-05 December 2025) [10.1109/apmc65046.2025.11379178]. | 1-gen-2025 | Atlante, MarcoTrinchero, RiccardoStievano, Igor S. + | Atlante_APMC_2025.pdf; Atlante_APMC_2025_IEEE.pdf |
| SPICE-Based Behavioral Models of IC Buffers via Compact Kernel Regressions / Atlante, Marco; Trinchero, Riccardo; Stievano, Igor S.; Telescu, Mihai; Tanguy, Noël. - ELETTRONICO. - (2025), pp. 1-4. ( 2025 IEEE 29th Workshop on Signal and Power Integrity (SPI) Gaeta (Ita) 11-14 May 2025) [10.1109/spi64682.2025.11014356]. | 1-gen-2025 | Atlante, MarcoTrinchero, RiccardoStievano, Igor S. + | cnf-2025-spi-devices-author.pdf; cnf-2025-spi-devices-ieee.pdf |
| Unit Cell Design for Space-Fed Surfaces Via Kernel-Based Machine Learning Regression / Beccaria, M.; Soleimani, N.; Trinchero, R.; Pirinoli, P.. - (2025). ( 2025 URSI International Symposium on Electromagnetic Theory, EMTS 2025 Bologna (Ita) 23-27 June 2025) [10.46620/URSIEMTS25/JDLD6926]. | 1-gen-2025 | Beccaria M.Soleimani N.Trinchero R.Pirinoli P. | Unit_Cell_Design_for_Space-Fed_Surfaces_Via_Kernel-Based_Machine_Learning_Regression.pdf; Unit Cell Design for space-fed antenna via Kernel-based Machine Learning Regression_Accepted.pdf |
| A Hybrid Polynomial Chaos Expansion and Gaussian Process Regression Method for Forward Uncertainty Quantification of Integrated Circuits / Manfredi, Paolo; Trinchero, Riccardo. - (2024), pp. 1-3. ( 33rd IEEE Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS 2024) Toronto (Can) 06-09 October 2024) [10.1109/epeps61853.2024.10754236]. | 1-gen-2024 | Manfredi, PaoloTrinchero, Riccardo | cnf-2024-EPEPS-PCE-GPR.pdf; manfredi-EPEPS-2024-PCE-GPR-final.pdf |
| Compressed SPICE-Compliant IC Models via Machine Learning Kernel Regression / Atlante, Marco; Trinchero, Riccardo; Bradde, Tommaso; Manfredi, Paolo; Stievano, Igor S.. - ELETTRONICO. - (2024), pp. 1-3. ( IEEE Electrical Design of Advanced Packaging and Systems (EDAPS) Bangalore (Ind) 17-19 December 2024) [10.1109/edaps64431.2024.10988464]. | 1-gen-2024 | Atlante, MarcoTrinchero, RiccardoBradde, TommasoManfredi, PaoloStievano, Igor S. | cnf-2024-EDAPS-IC-IEEE.pdf; cnf-2024-EDAPS-IC-Author.pdf |
| Efficient Parametric Assessment of Worst-Case Voltage Droop in Power Delivery Networks / Bradde, Tommaso; Carlucci, Antonio; Trinchero, Riccardo; Manfredi, Paolo; Grivet-Talocia, Stefano. - ELETTRONICO. - (2024). ( 2024 IEEE 33rd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) Toronto (Can) 06-09 October 2024) [10.1109/epeps61853.2024.10754453]. | 1-gen-2024 | Bradde, TommasoCarlucci, AntonioTrinchero, RiccardoManfredi, PaoloGrivet-Talocia, Stefano | cnf-2024-epeps-droop.pdf; cnf-2024-epeps-droop-IEEE-1-mini.pdf |
| Modeling of IC Buffers from Channel Responses Via Machine Learning Kernel Regression / Trinchero, Riccardo; Bradde, Tommaso; Telescu, Mihai; Stievano, Igor S.. - STAMPA. - (2024). ( 2024 IEEE 28th Workshop on Signal and Power Integrity (SPI) Lisbon (Portugal) May 12-15 2024) [10.1109/spi60975.2024.10539199]. | 1-gen-2024 | Trinchero, RiccardoBradde, TommasoStievano, Igor S. + | cnf-2024-spi-Authors.pdf; cnf-2024-spi-IEEE.pdf |
| Uncertainty Quantification and Sensitivity Analysis of Crosstalk in PCB Lines via the Combination of Machine Learning and Polynomial Chaos Expansion / Manfredi, Paolo; Trinchero, Riccardo. - (2024), pp. 639-642. ( 2024 IEEE Joint International Symposium on Electromagnetic Compatibility, Signal & Power Integrity: EMC Japan / Asia-Pacific International Symposium on Electromagnetic Compatibility (EMC Japan/APEMC Okinawa) Okinawa, Giappone 20-24 maggio 2024) [10.23919/emcjapan/apemcokinaw58965.2024.10584863]. | 1-gen-2024 | Manfredi, PaoloTrinchero, Riccardo | manfredi-APEMC-2024-final.pdf; cnf-2024-APEMC.pdf |
| Vector-Valued Kernel Ridge Regression for the Modeling of the Scattering Parameters of a Slotted Ground PCB Structure / Soleimani, Nastaran; Bradde, Tommaso; Manfredi, Paolo; Stievano, Igor; Trinchero, Riccardo. - ELETTRONICO. - (2024). ( 4th URSI Atlantic Radio Science Meeting (AT-RASC) Meloneras (Spain) 19-24 May, 2024) [10.46620/URSIATRASC24/QEMA5566]. | 1-gen-2024 | Soleimani, NastaranBradde, TommasoManfredi, PaoloStievano, IgorTrinchero, Riccardo | 2024007753.pdf; Vector-Valued_Kernel_Ridge_Regression_for_the_Modeling_of_the_Scattering_Parameters_of_a_Slotted_Ground_PCB_Structure.pdf |
| Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Parametric Modeling of the Frequency-Response of a High-Speed Link / Soleimani, Nastaran; Trinchero, Riccardo. - ELETTRONICO. - (2023). ( 35th URSI General Assembly and Scientific Symposium (URSI GASS 2023) Sapporo, Japan 19-26 August 2023) [10.23919/URSIGASS57860.2023.10265393]. | 1-gen-2023 | Soleimani, NastaranTrinchero, Riccardo | URSI_GASS2023_Sylv_vector_KRR.pdf; Efficient_Implementation_of_the_Vector-Valued_Kernel_Ridge_Regression_for_the_Parametric_Modeling_of_the_Frequency-Response_of_a_High-Speed_Link.pdf |
| Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Uncertainty Quantification of the Scattering Parameters of a 2-GHz Low-Noise Amplifier / Soleimani, Nastaran; Manfredi, Paolo; Trinchero, Riccardo. - ELETTRONICO. - (2023), pp. 143-146. ( IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO'2023) Winnipeg, MB (CAN) 28-30 June 2023) [10.1109/NEMO56117.2023.10202518]. | 1-gen-2023 | Soleimani, NastaranManfredi, PaoloTrinchero, Riccardo | NEMO2023_UQ_LNA_Vector_Valued_KRR (2).pdf; Soleimani-Efficient.pdf |
| Modeling of a High-Speed Link Based on an Efficient Implementation of Vector-Valued Machine Learning Kernel Regression / Soleimani, Nastaran; Trinchero, Riccardo; Canavero, Flavio. - ELETTRONICO. - (2023). ( 21ème Colloque International et Exposition sur la Compatibilité ÉlectroMagnétique (CEM 2023) Toulouse, France 13-15 juin 2023). | 1-gen-2023 | Soleimani, NastaranTrinchero, RiccardoCanavero, Flavio | CEM2023_NoisyMO_KRR.pdf |
| Surrogate Eye Modeling for the Statistical Assessment of a Smart Textile Interconnect / Telescu, Mihai; Trinchero, Riccardo; Tanguy, Noel; Stievano, Igor S.. - ELETTRONICO. - (2023). ( SPI 2023 - 27th IEEE Workshop on Signal and Power Integrity Aveiro, Portugal May 7-10, 2023) [10.1109/spi57109.2023.10145573]. | 1-gen-2023 | Trinchero, RiccardoStievano, Igor S. + | cnf-2023-spi-stkeye-author.pdf; cnf-2023-spi-stkeye-ieee.pdf |
| A probabilistic Gaussian process regression approach to uncertainty quantification in electromagnetic compatibility investigations / Manfredi, Paolo; Trinchero, Riccardo. - ELETTRONICO. - (2022), pp. 1-1. ( 3rd URSI Atlantic Radio Science meeting (AT-AP-RASC 2022) Gran Canaria, Spagna 29 maggio - 3 giugno 2022). | 1-gen-2022 | paolo manfrediriccardo trinchero | manfredi-AT-AP-RASC-2022-abstract-ieee-compliant.pdf |
| Machine Learning-Based Uncertainty Quantification of Passive Intermodulation in Aluminum Contact / Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G.. - ELETTRONICO. - (2022), pp. 1-4. ( 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC) Gran Canaria, Spain 30 May 2022 - 04 June 2022) [10.23919/AT-AP-RASC54737.2022.9814426]. | 1-gen-2022 | Treviso, FelipeTrinchero, RiccardoCanavero, Flavio G. | YSASummaryTrevisoFelipe.pdf; Treviso-MachineLearning.pdf |
| Vector Fitting of Noisy Frequency Responses via Smoothing Regularization / Carlucci, A.; Zanco, A.; Trinchero, R.; Grivet-Talocia, S.. - ELETTRONICO. - (2022), pp. 1-3. ( 2022 IEEE 26th Workshop on Signal and Power Integrity (SPI) Siegen, Germany 22-25 May 2022) [10.1109/SPI54345.2022.9874941]. | 1-gen-2022 | Carlucci, A.Zanco, A.Trinchero, R.Grivet-Talocia, S. | cnf-2022-spi-vf-smoothing-ieee.pdf; cnf-2022-spi-vf-smoothing.pdf |
| Vector-Valued Kernel Ridge Regression for the Modeling of High-Speed Links / Soleimani, Nastaran; Trinchero, Riccardo; Canavero, Flavio. - ELETTRONICO. - (2022), pp. 1-4. ( 2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO) Limoges, France 06-08 July 2022) [10.1109/NEMO51452.2022.10038963]. | 1-gen-2022 | Soleimani, NastaranTrinchero, RiccardoCanavero, Flavio | Soleimani_NEMO2022_FINAL.pdf; Vector-Valued_Kernel_Ridge_Regression_for_the_Modeling_of_High-Speed_Links.pdf |
| Worst-Case Optimization of a Digital Link for Wearable Electronics in a Stochastic Framework / Telescu, M.; Trinchero, R.; Stievano, I. S.; Tanguy, N.. - ELETTRONICO. - (2022), pp. 1-4. ( 2022 IEEE 26th Workshop on Signal and Power Integrity (SPI) Siegen, Germany May 22-25, 2022) [10.1109/SPI54345.2022.9874928]. | 1-gen-2022 | Trinchero R.Stievano I. S. + | cnf-2022-SPI-ieee.pdf; cnf-2022-SPI-authorscopy.pdf |