Archivio Istituzionale della RicercaTRINCHERO, RICCARDO
TRINCHERO, RICCARDO
Dipartimento di Elettronica e Telecomunicazioni
029126
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.
A Nonparametric Surrogate Model for Stochastic Crosstalk Analysis Including Confidence Bounds
2021 Manfredi, Paolo; Trinchero, Riccardo
Compressed Machine Learning-Based Inverse Model for the Design of Microwave Filters
2021 Sedaghat, Mostafa; Trinchero, Riccardo; Canavero, Flavio
Statistical crosstalk analysis via probabilistic machine learning surrogates
2021 Manfredi, Paolo; Trinchero, Riccardo
Analysis of Parameter Variability in Integrated Devices by Partial Least Squares Regression
2020 Larbi, Mourad; Trinchero, Riccardo; Canavero, Flavio G.; Besnier, Philippe; Swaminathan, Madhavan
Application of Different Learning Methods for the Modelling of Microstrip Characteristics
2020 Soleimani, N.; Trinchero, R.; Canavero, F.
Machine Learning Applied to the Blind Identification of Multiple Delays in Distributed Systems
2020 Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G.
Modeling of the Maximum Induced Currents in Automotive Radiated Immunity Tests via Thevenin-based Metamodels
2020 Trinchero, R.; Stievano, I. S.; Canavero, F.
Use of an Active Learning Strategy Based on Gaussian Process Regression for the Uncertainty Quantification of Electronic Devices
2020 Trinchero, Riccardo; Canavero, Flavio
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Modeling of IC Buffers from Channel Responses Via Machine Learning Kernel Regression / Trinchero, Riccardo; Bradde, Tommaso; Telescu, Mihai; Stievano, Igor S.. - STAMPA. - (2024). (Intervento presentato al convegno 2024 IEEE 28th Workshop on Signal and Power Integrity (SPI) tenutosi a Lisbon (Portugal) nel 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. (Intervento presentato al convegno 2024 IEEE Joint International Symposium on Electromagnetic Compatibility, Signal & Power Integrity: EMC Japan / Asia-Pacific International Symposium on Electromagnetic Compatibility (EMC Japan/APEMC Okinawa) tenutosi a Okinawa, Giappone nel 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). (Intervento presentato al convegno 4th URSI Atlantic Radio Science Meeting (AT-RASC) tenutosi a Meloneras (Spain) nel 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). (Intervento presentato al convegno 35th URSI General Assembly and Scientific Symposium (URSI GASS 2023) tenutosi a Sapporo, Japan nel 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. (Intervento presentato al convegno IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO'2023) tenutosi a Winnipeg, MB (CAN) nel 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). (Intervento presentato al convegno 21ème Colloque International et Exposition sur la Compatibilité ÉlectroMagnétique (CEM 2023) tenutosi a Toulouse, France nel 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). (Intervento presentato al convegno SPI 2023 - 27th IEEE Workshop on Signal and Power Integrity tenutosi a Aveiro, Portugal nel 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. (Intervento presentato al convegno 3rd URSI Atlantic Radio Science meeting (AT-AP-RASC 2022) tenutosi a Gran Canaria, Spagna nel 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. (Intervento presentato al convegno 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC) tenutosi a Gran Canaria, Spain nel 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. (Intervento presentato al convegno 2022 IEEE 26th Workshop on Signal and Power Integrity (SPI) tenutosi a Siegen, Germany nel 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. (Intervento presentato al convegno 2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO) tenutosi a Limoges, France nel 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. (Intervento presentato al convegno 2022 IEEE 26th Workshop on Signal and Power Integrity (SPI) tenutosi a Siegen, Germany nel 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 |
| A Nonparametric Surrogate Model for Stochastic Crosstalk Analysis Including Confidence Bounds / Manfredi, Paolo; Trinchero, Riccardo. - ELETTRONICO. - (2021), pp. 1-4. (Intervento presentato al convegno 2021 IEEE 25th Workshop on Signal and Power Integrity tenutosi a Siegen, Germany nel 10-12 May 2021) [10.1109/spi52361.2021.9505176]. | 1-gen-2021 | Paolo ManfrediRiccardo Trinchero | manfredi-SPI-2021-final.pdf; cnf-2021-SPI.pdf |
| Compressed Machine Learning-Based Inverse Model for the Design of Microwave Filters / Sedaghat, Mostafa; Trinchero, Riccardo; Canavero, Flavio. - ELETTRONICO. - (2021). (Intervento presentato al convegno MTT-S International Microwave Symposium (IMS) tenutosi a Atlanta, GA, USA nel 7-25 June 2021) [10.1109/IMS19712.2021.9574884]. | 1-gen-2021 | Mostafa, SedaghatRiccardo, TrincheroFlavio, Canavero | IMS2021_Mostafa Sedaghat.pdf; Sedaghat-Compressed.pdf |
| Statistical crosstalk analysis via probabilistic machine learning surrogates / Manfredi, Paolo; Trinchero, Riccardo. - ELETTRONICO. - (2021), pp. 1-3. (Intervento presentato al convegno IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS 2021) tenutosi a Austin, TX, USA nel 17-20 ottobre 2021) [10.1109/EPEPS51341.2021.9609229]. | 1-gen-2021 | Manfredi, PaoloTrinchero, Riccardo | manfredi-EPEPS-2021-final.pdf; cnf-2021-EPEPS.pdf |
| Analysis of Parameter Variability in Integrated Devices by Partial Least Squares Regression / Larbi, Mourad; Trinchero, Riccardo; Canavero, Flavio G.; Besnier, Philippe; Swaminathan, Madhavan. - ELETTRONICO. - (2020). (Intervento presentato al convegno IEEE Workshop on Signal Propagation on Interconnects (SPI) tenutosi a Cologne (Germany) nel 17-20 May 2020) [10.1109/spi48784.2020.9218175]. | 1-gen-2020 | Larbi, MouradTrinchero, RiccardoCanavero, Flavio G.Swaminathan, Madhavan + | PID6440213.pdf; Trinchero-Analysis.pdf |
| Application of Different Learning Methods for the Modelling of Microstrip Characteristics / Soleimani, N.; Trinchero, R.; Canavero, F.. - 2020-:(2020), pp. 1-3. (Intervento presentato al convegno 2020 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2020 tenutosi a chn nel 2020) [10.1109/EDAPS50281.2020.9312887]. | 1-gen-2020 | Soleimani N.Trinchero R.Canavero F. | EDAPS20_Soleimani.pdf; 09312887.pdf |
| Machine Learning Applied to the Blind Identification of Multiple Delays in Distributed Systems / Treviso, Felipe; Trinchero, Riccardo; Canavero, Flavio G.. - ELETTRONICO. - (2020), pp. 1-4. (Intervento presentato al convegno 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science tenutosi a Rome, Italy nel 29 Aug.-5 Sept. 2020) [10.23919/URSIGASS49373.2020.9232325]. | 1-gen-2020 | Treviso, FelipeTrinchero, RiccardoCanavero, Flavio G. | Treviso2020-machine learning id delay.pdf; Treviso-Machine.pdf |
| Modeling of the Maximum Induced Currents in Automotive Radiated Immunity Tests via Thevenin-based Metamodels / Trinchero, R.; Stievano, I. S.; Canavero, F.. - ELETTRONICO. - (2020), pp. 1-4. (Intervento presentato al convegno 2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE, EMC EUROPE 2020 tenutosi a ita nel 2020) [10.1109/EMCEUROPE48519.2020.9245759]. | 1-gen-2020 | Trinchero R.Stievano I. S.Canavero F. | 09245759.pdf; PID6443239.pdf |
| Use of an Active Learning Strategy Based on Gaussian Process Regression for the Uncertainty Quantification of Electronic Devices / Trinchero, Riccardo; Canavero, Flavio. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 3:(2020), p. 3. (Intervento presentato al convegno 1st International Electronic Conference - Futuristic Applications on Electronics session nel 01/11/2020 - 30/11/2020) [10.3390/iec2020-06967]. | 1-gen-2020 | Riccardo TrincheroFlavio Canavero | Trinchero_IEC2020_GP+AL_approved.pdf; manuscript.pdf |